Relevant bibliographies by topics / SNP Filtering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'SNP Filtering'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'SNP Filtering.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "SNP Filtering"

1

Kumar, Santosh, Travis W. Banks, and Sylvie Cloutier. "SNP Discovery through Next-Generation Sequencing and Its Applications." International Journal of Plant Genomics 2012 (November 22, 2012): 1–15. http://dx.doi.org/10.1155/2012/831460.

Full text
Abstract:
The decreasing cost along with rapid progress in next-generation sequencing and related bioinformatics computing resources has facilitated large-scale discovery of SNPs in various model and nonmodel plant species. Large numbers and genome-wide availability of SNPs make them the marker of choice in partially or completely sequenced genomes. Although excellent reviews have been published on next-generation sequencing, its associated bioinformatics challenges, and the applications of SNPs in genetic studies, a comprehensive review connecting these three intertwined research areas is needed. This paper touches upon various aspects of SNP discovery, highlighting key points in availability and selection of appropriate sequencing platforms, bioinformatics pipelines, SNP filtering criteria, and applications of SNPs in genetic analyses. The use of next-generation sequencing methodologies in many non-model crops leading to discovery and implementation of SNPs in various genetic studies is discussed. Development and improvement of bioinformatics software that are open source and freely available have accelerated the SNP discovery while reducing the associated cost. Key considerations for SNP filtering and associated pipelines are discussed in specific topics. A list of commonly used software and their sources is compiled for easy access and reference.
APA, Harvard, Vancouver, ISO, and other styles
2

Spencer, Amy Victoria, Angela Cox, and Kevin Walters. "Comparing the Efficacy of SNP Filtering Methods for Identifying a Single Causal SNP in a Known Association Region." Annals of Human Genetics 78, no. 1 (November 11, 2013): 50–61. http://dx.doi.org/10.1111/ahg.12043.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lakhssassi, Kenza, and Oscar González-Recio. "A haplotype regression approach for genetic evaluation using sequences from the 1000 bull genomes Project." Spanish Journal of Agricultural Research 15, no. 4 (February 7, 2018): e0407. http://dx.doi.org/10.5424/sjar/2017154-11736.

Full text
Abstract:
Haplotypes from sequencing data may improve the prediction accuracy in genomic evaluations as haplotypes are in stronger linkage disequilibrium with quantitative trait loci than markers from SNP chips. This study focuses first, on the creation of haplotypes in a population sample of 450 Holstein animals, with full-sequence data from the 1000 bull genomes project; and second, on incorporating them into the whole genome prediction model. In total, 38,319,258 SNPs (and indels) from Next Generation Sequencing were included in the analysis. After filtering variants with minor allele frequency (MAF< 0.025) 13,912,326 SNPs were available for the haplotypes extraction with findhap.f90. The number of SNPs in the haploblocks was on average 924 SNP (166,552 bp). Unique haplotypes were around 97% in all chromosomes and were ignored leaving 153,428 haplotypes. Estimated haplotypes had a large contribution to the total variance of genomic estimated breeding values for kilogram of protein, Global Type Index, Somatic Cell Score and Days Open (between 32 and 99.9%). Haploblocks containing haplotypes with large effects were selected by filtering for each trait, haplotypes whose effect was larger/lower than the mean plus/minus 3 times the standard deviation (SD) and 1 SD above the mean of the haplotypes effect distribution. Results showed that filtering by 3 SD would not be enough to capture a large proportion of genetic variance, whereas filtering by 1 SD could be useful but model convergence should be considered. Additionally, sequence haplotypes were able to capture additional genetic variance to the polygenic effect for traits undergoing lower selection intensity like fertility and health traits.
APA, Harvard, Vancouver, ISO, and other styles
4

Toghiani, S., L. Y. Chang, S. E. Aggrey, and R. Rekaya. "0300 SNP filtering using Fst and implications for genome wide association and phenotype prediction." Journal of Animal Science 94, suppl_5 (October 1, 2016): 143. http://dx.doi.org/10.2527/jam2016-0300.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Markello, Thomas C., Ted Han, Hannah Carlson-Donohoe, Chidi Ahaghotu, Ursula Harper, MaryPat Jones, Settara Chandrasekharappa, et al. "Recombination mapping using Boolean logic and high-density SNP genotyping for exome sequence filtering." Molecular Genetics and Metabolism 105, no. 3 (March 2012): 382–89. http://dx.doi.org/10.1016/j.ymgme.2011.12.014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Friedman, Sam, Laura Gauthier, Yossi Farjoun, and Eric Banks. "Lean and deep models for more accurate filtering of SNP and INDEL variant calls." Bioinformatics 36, no. 7 (December 12, 2019): 2060–67. http://dx.doi.org/10.1093/bioinformatics/btz901.

Full text
Abstract:
Abstract Summary We investigate convolutional neural networks (CNNs) for filtering small genomic variants in short-read DNA sequence data. Errors created during sequencing and library preparation make variant calling a difficult task. Encoding the reference genome and aligned reads covering sites of genetic variation as numeric tensors allows us to leverage CNNs for variant filtration. Convolutions over these tensors learn to detect motifs useful for classifying variants. Variant filtering models are trained to classify variants as artifacts or real variation. Visualizing the learned weights of the CNN confirmed it detects familiar DNA motifs known to correlate with real variation, like homopolymers and short tandem repeats (STR). After confirmation of the biological plausibility of the learned features we compared our model to current state-of-the-art filtration methods like Gaussian Mixture Models, Random Forests and CNNs designed for image classification, like DeepVariant. We demonstrate improvements in both sensitivity and precision. The tensor encoding was carefully tailored for processing genomic data, respecting the qualitative differences in structure between DNA and natural images. Ablation tests quantitatively measured the benefits of our tensor encoding strategy. Bayesian hyper-parameter optimization confirmed our notion that architectures designed with DNA data in mind outperform off-the-shelf image classification models. Our cross-generalization analysis identified idiosyncrasies in truth resources pointing to the need for new methods to construct genomic truth data. Our results show that models trained on heterogenous data types and diverse truth resources generalize well to new datasets, negating the need to train separate models for each data type. Availability and implementation This work is available in the Genome Analysis Toolkit (GATK) with the tool name CNNScoreVariants (https://github.com/broadinstitute/gatk). Supplementary information Supplementary data are available at Bioinformatics online.
APA, Harvard, Vancouver, ISO, and other styles
7

O'Leary, Shannon J., Jonathan B. Puritz, Stuart C. Willis, Christopher M. Hollenbeck, and David S. Portnoy. "These aren’t the loci you’e looking for: Principles of effective SNP filtering for molecular ecologists." Molecular Ecology 27, no. 16 (July 27, 2018): 3193–206. http://dx.doi.org/10.1111/mec.14792.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Lyu, Pin, Jianhua Hou, Haifeng Yu, and Huimin Shi. "High-density Genetic Linkage Map Construction in Sunflower (Helianthus annuus L.) Using SNP and SSR Markers." Current Bioinformatics 15, no. 8 (January 1, 2021): 889–97. http://dx.doi.org/10.2174/1574893615666200324134725.

Full text
Abstract:
Background: Sunflower (Helianthus annuus L.) is an important oil crop only after soybean, canola and peanuts. A high-quality genetic map is the foundation of marker-assisted selection (MAS). However, for this species, the high-density maps have been reported limitedly. Objective: In this study, we proposed the construction of a high-density genetic linkage map by the F7 population of sunflowers using SNP and SSR Markers. Methods: The SLAF-seq strategy was employed to further develop SNP markers with SSR markers to construct the high-density genetic map by the HighMap software. Results: A total of 1,138 million paired-end reads (226Gb) were obtained and 518,900 SLAFs were detected. Of the polymorphic SLAFs, 2,472,245 SNPs were developed and finally, 5,700 SNPs were found to be ideal to construct a genetic map after filtering. The final high-density genetic map included 4,912 SNP and 93 SSR markers distributed in 17 linkage groups (LGs) and covered 2,425.05 cM with an average marker interval of 0.49 cM. Conclusion: The final result demonstrated that the SLAF-seq strategy is suitable for SNP markers detection. The genetic map reported in this study can be considered as one of the most highdensity genetic linkage maps of sunflower and could lay a foundation for quantitative trait loci (QTLs) fine mapping or map-based gene cloning.
APA, Harvard, Vancouver, ISO, and other styles
9

Vossen, David M., Caroline V. M. Verhagen, Reidar Grénman, Roelof J. C. Kluin, Marcel Verheij, Michiel W. M. van den Brekel, Lodewyk F. A. Wessels, and Conchita Vens. "Role of variant allele fraction and rare SNP filtering to improve cellular DNA repair endpoint association." PLOS ONE 13, no. 11 (November 8, 2018): e0206632. http://dx.doi.org/10.1371/journal.pone.0206632.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ulaszewski, Bartosz, Joanna Meger, and Jaroslaw Burczyk. "Comparative Analysis of SNP Discovery and Genotyping in Fagus sylvatica L. and Quercus robur L. Using RADseq, GBS, and ddRAD Methods." Forests 12, no. 2 (February 15, 2021): 222. http://dx.doi.org/10.3390/f12020222.

Full text
Abstract:
Next-generation sequencing of reduced representation genomic libraries (RRL) is capable of providing large numbers of genetic markers for population genetic studies at relatively low costs. However, one major concern of these types of markers is the precision of genotyping, which is related to the common problem of missing data, which appears to be particularly important in association and genomic selection studies. We evaluated three RRL approaches (GBS, RADseq, ddRAD) and different SNP identification methods (de novo or based on a reference genome) to find the best solutions for future population genomics studies in two economically and ecologically important broadleaved tree species, namely F. sylvatica and Q. robur. We found that the use of ddRAD method coupled with SNP calling based on reference genomes provided the largest numbers of markers (28 k and 36 k for beech and oak, respectively), given standard filtering criteria. Using technical replicates of samples, we demonstrated that more than 80% of SNP loci should be considered as reliable markers in GBS and ddRAD, but not in RADseq data. According to the reference genomes’ annotations, more than 30% of the identified ddRAD loci appeared to be related to genes. Our findings provide a solid support for using ddRAD-based SNPs for future population genomics studies in beech and oak.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "SNP Filtering"

1

Roshyara, Nab Raj, Holger Kirsten, Katrin Horn, Peter Ahnert, and Markus Scholz. "Impact of pre-imputation SNP-filtering on genotype imputation results." Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-151874.

Full text
Abstract:
Background: Imputation of partially missing or unobserved genotypes is an indispensable tool for SNP data analyses. However, research and understanding of the impact of initial SNP-data quality control on imputation results is still limited. In this paper, we aim to evaluate the effect of different strategies of pre-imputation quality filtering on the performance of the widely used imputation algorithms MaCH and IMPUTE. Results: We considered three scenarios: imputation of partially missing genotypes with usage of an external reference panel, without usage of an external reference panel, as well as imputation of ompletely un-typed SNPs using an external reference panel. We first created various datasets applying different SNP quality filters and masking certain percentages of randomly selected high-quality SNPs. We imputed these SNPs and compared the results between the different filtering scenarios by using established and newly proposed measures of imputation quality. While the established measures assess certainty of imputation results, our newly proposed measures focus on the agreement with true genotypes. These measures showed that pre-imputation SNP-filtering might be detrimental regarding imputation quality. Moreover, the strongest drivers of imputation quality were in general the burden of missingness and the number of SNPs used for imputation. We also found that using a reference panel always improves imputation quality of partially missing genotypes. MaCH performed slightly better than IMPUTE2 in most of our scenarios. Again, these results were more pronounced when using our newly defined measures of imputation quality. Conclusion: Even a moderate filtering has a detrimental effect on the imputation quality. Therefore little or no SNP filtering prior to imputation appears to be the best strategy for imputing small to moderately sized datasets. Our results also showed that for these datasets, MaCH performs slightly better than IMPUTE2 in most scenarios at the cost of increased computing time.
APA, Harvard, Vancouver, ISO, and other styles
2

Silva, Bruno Zonovelli da. "Filtragem robusta de SNPs utilizando redes neurais em DNA genômico completo." Universidade Federal de Juiz de Fora (UFJF), 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/3496.

Full text
Abstract:
Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-02-24T15:10:56Z No. of bitstreams: 1 brunozonovellidasilva.pdf: 11306730 bytes, checksum: d7a7b13a1620f32d885d6b1e8852ae2b (MD5)
Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-02-24T15:40:35Z (GMT) No. of bitstreams: 1 brunozonovellidasilva.pdf: 11306730 bytes, checksum: d7a7b13a1620f32d885d6b1e8852ae2b (MD5)
Made available in DSpace on 2017-02-24T15:40:35Z (GMT). No. of bitstreams: 1 brunozonovellidasilva.pdf: 11306730 bytes, checksum: d7a7b13a1620f32d885d6b1e8852ae2b (MD5) Previous issue date: 2013-06-25
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Com o crescente avanço das plataformas de sequenciamento genômico, surge a necessidade de modelos computacionais capazes de analisar, de forma eficaz, o grande volume de dados disponibilizados. Uma das muitas complexidades, variações e particularidades de um genoma são os polimorfismos de base única (single nucleotide polymorphisms - SNPs), que podem ser encontrados no genoma de indivíduos isoladamente ou em grupos de indivíduos de alguma população, sendo originados a partir de inserções, remoções ou substituições de bases. Alterações de um único nucleotídeo, como no caso de SNPs, podem modificar a produção de uma determinada proteína. O conjunto de tais alterações tende a provocar variações nas características dos indivíduos da espécie, que podem gerar alterações funcionais ou fenotípicas, que, por sua vez, implicam, geralmente, em consequências evolutivas nos indivíduos em que os SNPs se manifestam. Entre os vários desafios em bioinformática, encontram-se a descoberta e filtragem de SNPs em DNA genômico, etapas de relevância no pós-processamento da montagem de um genoma. Este trabalho propõe e desenvolve um método computacional capaz de filtrar SNPs em DNA genômico completo, utilizando genomas remontados a partir de sequências oriundas de plataformas de nova geração. O modelo computacional desenvolvido baseia-se em técnicas de aprendizado de máquina e inteligência computacional, com o objetivo de obter um filtro eficiente, capaz de classificar SNPs no genoma de um indivíduo, independente da plataforma de sequenciamento utilizada.
With the growing advances in genomic sequencing platforms, new developments on computational models are crucial to analyze, effectively, the large volume of data available. One of the main complexities, variations and peculiarities of a genome are single nucleotide polymorphisms (SNPs). The SNPs, which can be found in the genome of isolated individuals or groups of individuals of a specific population, are originated from inserts, removals or substitutions of bases. Single nucleotide variation, such as SNPs, can modify the production of a protein. Combination of all such modifications tend to determine variations on individuals characteristics of the specie. Thus, this phenomenon usually produces functional or phenotypic changes which, in turn, can result in evolutionary consequences for individuals with expressed SNPs. Among the numerous challenges in bioinformatics, the discovery and filtering of SNPs in genomic DNA is considered an important steps of the genome assembling post-processing. This dissertation has proposed and developed a computational method able to filtering SNPs in genome, using the genome assembled from sequences obtained by new generation platforms. The computational model presented is based on machine learning and computational intelligence techniques, aiming to obtain an efficient filter to sort SNPs in the genome of an individual, regardless of the sequencing platform adopted.
APA, Harvard, Vancouver, ISO, and other styles
3

Chan, William Hannibal. "SNAP Biclustering." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/36442.

Full text
Abstract:
This thesis presents a new ant-optimized biclustering technique known as SNAP biclustering, which runs faster and produces results of superior quality to previous techniques. Biclustering techniques have been designed to compensate for the weaknesses of classical clustering algorithms by allowing cluster overlap, and allowing vectors to be grouped for a subset of their defined features. These techniques have performed well in many problem domains, particularly DNA microarray analysis and collaborative filtering. A motivation for this work has been the biclustering technique known as bicACO, which was the first to use ant colony optimization. As bicACO is time intensive, much emphasis was placed on decreasing SNAPâ s runtime. The superior speed and biclustering results of SNAP are due to its improved initialization and solution construction procedures. In experimental studies involving the Yeast Cell Cycle DNA microarray dataset and the MovieLens collaborative filtering dataset, SNAP has run at least 22 times faster than bicACO while generating superior results. Thus, SNAP is an effective choice of technique for microarray analysis and collaborative filtering applications.
Master of Science
APA, Harvard, Vancouver, ISO, and other styles
4

Yang, Jia-Horng. "Robust adaptive control using a filtering action." Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/dissert/2009/Sep/09Sep_Yang_PhD.pdf.

Full text
Abstract:
Dissertation (Ph.D. in Electrical Engineering)--Naval Postgraduate School, September 2009.
Dissertation Advisor(s): Cristi, Roberto. "September 2009." Description based on title screen as viewed on November 6, 2009. Author(s) subject terms: low pass filter, L1 adaptive controller, unmodeled dynamics, non-minimum phase, PID feedback, flexible problems. Includes bibliographical references (p. 95-102). Also available in print.
APA, Harvard, Vancouver, ISO, and other styles
5

Palaniappan, Prashanth. "De-noising of Real-time Dynamic Magnetic Resonance Images by the Combined Application of Karhunen-Loeve Transform (KLT) and Wavelet Filtering." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1357269157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ryšánek, Jan. "Filtrace signálů EKG s využitím vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219504.

Full text
Abstract:
This work deals with the possibilities of filtering the ECG signal, representing the first part, which is the basis for successful delineation and follow diagnosis of the ECG signal. Filtration in this case is mean to suppress interference from electrical grid, noise of electrical grid. The content of the work is description of filters realized trough wavelet transform and linear filtering as a means to successful filtration of interference. There are method of stationary wavelet transform - dyadic wavelet transform, wavelet packet transform and wavelet wiener filtering method. Linear filtering includes two narrow-band FIR filters. The objective of this work is to propose different methods of wavelet and linear filters in Matlab, filtering of ECG signals and compare the success of filtration methods. ECG signals used in this work are from the CSE database.
APA, Harvard, Vancouver, ISO, and other styles
7

Putz, Daniel Robert. "Spam on the phone - VoIP and its biggest weakness : Studies about the users’ willingness to offer personal information in order to avoid VoIP spam." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1393.

Full text
Abstract:

It is very probable that VoIP will soon replace the ordinary telephone. Beside all advantages of the digital voice-connection it is linked to the danger of spam on the telephone. A lot of approaches have been developed to solve the problem of VoIP spam. Because some of these solutions are based on access to personal information of its users, a broad discussion about the best and most ethical approach has started.

This thesis analyzes the users’ point of view towards the VoIP spam problem and the extent of users’ willingness to offer private information in order to avoid VoIP spam. It presents results from a qualitative and a quantitative research as well as approaches for a most realistic- and most promising VoIP solution. These new approaches are based on the results of the research.

The main points of the results showed that users were not willing to offer private information to companies and that they were not willing to pay any amount of money for VoIP spam solutions. Users held governmental organisations and telephone operators responsible for finding a solution against VoIP spam.

APA, Harvard, Vancouver, ISO, and other styles
8

Robles, Martínez Ángel. "Modelling, simulation and control of the filtration process in a submerged anaerobic membrane bioreactor treating urban wastewater." Doctoral thesis, Editorial Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34102.

Full text
Abstract:
El reactor anaerobio de membranas sumergidas (SAnMBR) está considerado como tecnología candidata para mejorar la sostenibilidad en el sector de la depuración de aguas residuales, ampliando la aplicabilidad de la biotecnología anaerobia al tratamiento de aguas residuales de baja carga (v.g. agua residual urbana) o a condiciones medioambientales extremas (v.g. bajas temperaturas de operación). Esta tecnología alternativa de tratamiento de aguas residuales es más sostenible que las tecnologías aerobias actuales ya que el agua residual se transforma en una fuente renovable de energía y nutrientes, proporcionando además un recurso de agua reutilizable. SAnMBR no sólo presenta las principales ventajas de los reactores de membranas (i.e. efluente de alta calidad, y pocas necesidades de espacio), sino que también presenta las principales ventajas de los procesos anaerobios. En este sentido, la tecnología SAnMBR presenta una baja producción de fangos debido a la baja tasa de crecimiento de los microorganismos implicados en la degradación de la materia orgánica, presenta una baja demanda energética debido a la ausencia de aireación, y permite la generación de metano, el cual representa una fuente de energía renovable que mejora el balance energético neto del sistema. Cabe destacar el potencial de recuperación de nutrientes del agua residual bien cuando el efluente es destinado a irrigación directamente, o bien cuando debe ser tratado previamente mediante tecnologías de recuperación de nutrientes. El objetivo principal de esta tesis doctoral es evaluar la viabilidad de la tecnología SAnMBR como núcleo en el tratamiento de aguas residuales urbanas a temperatura ambiente. Por lo tanto, esta tesis se centra en las siguientes tareas: (1) implementación, calibración y puesta en marcha del sistema de instrumentación, control y automatización requerido; (2) identificación de los parámetros de operación clave que afectan al proceso de filtración; (3) modelación y simulación del proceso de filtración; y (4) desarrollo de estrategias de control para la optimización del proceso de filtración minimizando los costes de operación. En este trabajo de investigación se propone un sistema de instrumentación, control y automatización para SAnMBR, el cual fue esencial para alcanzar un comportamiento adecuado y estable del sistema frente a posibles perturbaciones. El comportamiento de las membranas fue comparable a sistemas MBR aerobios a escala industrial. Tras más de dos años de operación ininterrumpida, no se detectaron problemas significativos asociados al ensuciamiento irreversible de las membranas, incluso operando a elevadas concentraciones de sólidos en el licor mezcla (valores de hasta 25 g·L-1 ). En este trabajo se presenta un modelo de filtración (basado en el modelo de resistencias en serie) que permitió simular de forma adecuada el proceso de filtración. Por otra parte, se propone un control supervisor basado en un sistema experto que consiguió reducir el consumo energético asociado a la limpieza física de las membranas, un bajo porcentaje de tiempo destinado a la limpieza física respecto al total de operación, y, en general, un menor coste operacional del proceso de filtración. Esta tesis doctoral está integrada en un proyecto nacional de investigación, subvencionado por el Ministerio de Ciencia e Innovación (MICINN), con título ¿Modelación de la aplicación de la tecnología de membranas para la valorización energética de la materia orgánica del agua residual y la minimización de los fangos producidos¿ (MICINN, proyecto CTM2008-06809- C02-01/02). Para obtener resultados representativos que puedan ser extrapolados a plantas reales, esta tesis doctoral se ha llevado a cabo utilizando un sistema SAnMBR que incorpora módulos comerciales de membrana de fibra hueca. Además, esta planta es alimentada con el efluente del pre-tratamiento de la EDAR del Barranco del Carraixet (Valencia, España).
Robles Martínez, Á. (2013). Modelling, simulation and control of the filtration process in a submerged anaerobic membrane bioreactor treating urban wastewater [Tesis doctoral]. Editorial Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/34102
Alfresco
Premiado
APA, Harvard, Vancouver, ISO, and other styles
9

Bhebe, Wilander. "Shilling attack detection in recommender systems." 2015. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001931.

Full text
Abstract:
M. Tech. Information Networks
The growth of the internet has made it easy for people to exchange information resulting in the abundance of information commonly referred to as information overload. It causes retailers to fail to make adequate sales since the customers are swamped with a lot of options and choices. To lessen this problem retailers have begun to find it useful to make use of algorithmic approaches to determine which content to show consumers. These algorithmic approaches are known as recommender systems. Collaborative Filtering recommender systems suggest items to users based on other users reported prior experience with those items. These systems are, however, vulnerable to shilling attacks since they are highly dependent on outside sources of information. Shilling is a process in which syndicating users can connive to promote or demote a certain item, where malicious users benefit from introducing biased ratings. It is, however, critical that shilling detection systems are implemented to detect, warn and shut down shilling attacks within minutes. Modern patented shilling detection systems employ: (a) classification methods, (b) statistical methods, and (c) rules and threshold values defined by shilling detection analysts, using their knowledge of valid shilling cases and the false alarm rate as guidance. The goal of this dissertation is to determine a context for, and assess the performance of Meta-Learning techniques that can be integrated in the shilling detection process.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "SNP Filtering"

1

Starke, Ludger, Karsten Tabelow, Thoralf Niendorf, and Andreas Pohlmann. "Denoising for Improved Parametric MRI of the Kidney: Protocol for Nonlocal Means Filtering." In Methods in Molecular Biology, 565–76. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_34.

Full text
Abstract:
AbstractIn order to tackle the challenges caused by the variability in estimated MRI parameters (e.g., T2* and T2) due to low SNR a number of strategies can be followed. One approach is postprocessing of the acquired data with a filter. The basic idea is that MR images possess a local spatial structure that is characterized by equal, or at least similar, noise-free signal values in vicinities of a location. Then, local averaging of the signal reduces the noise component of the signal. In contrast, nonlocal means filtering defines the weights for averaging not only within the local vicinity, bur it compares the image intensities between all voxels to define “nonlocal” weights. Furthermore, it generally compares not only single-voxel intensities but small spatial patches of the data to better account for extended similar patterns. Here we describe how to use an open source NLM filter tool to denoise 2D MR image series of the kidney used for parametric mapping of the relaxation times T2* and T2.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers.
APA, Harvard, Vancouver, ISO, and other styles
2

Misra, Debajyoti, Ankur Ganguly, and Dewaki Nandan Tibarewala. "Application of Genetic Algorithm in Denoising MRI Images Clouded with Rician Noise." In Advances in Bioinformatics and Biomedical Engineering, 14–38. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8811-7.ch002.

Full text
Abstract:
In this research Genetic Algorithm (GA) is suggested for remotion of Rician Noise. This type of disturbance primarily occurs in low signal to noise (SNR) regions. Original low signal is clouded due to presence of Rician noise and measurement gets hindered in low SNR areas. To defeat the trouble real and imaginary data in the image field are rectified, before construction of the magnitude image. The noise diminution filtering (or denoising) is attained by Genetic Algorithm. New genetic manipulator is used that blends crossover and adaptive mutation to improve the convergence rate and solution quality of GA. For validating the results, the proposed filter was tested successfully by keeping the number of generations fixed and gradually increasing the noise level. Similar trends of decrease were obtained in the mean square error values after the filtering was performed. This new proficiency efficaciously reduces the standard deviation and significantly lowers the rectified noise after the filtering was performed.
APA, Harvard, Vancouver, ISO, and other styles
3

Gautam, Alka, Hoon-Jae Lee, and Wan-Young Chung. "ECG Signal De-Noising with Asynchronous Averaging and Filtering Algorithm." In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs, 199–205. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch014.

Full text
Abstract:
In this study, a new algorithm is proposed—Asynchronous Averaging and Filtering (AAF) for ECG signal de-noising. R-peaks are detected with another proposed algorithm—Minimum Slot and Maximum Point selecting method (MSMP). AAF algorithm reduces random noise (major component of EMG noise) from ECG signal and provides comparatively good results for baseline wander noise cancellation. Signal to noise ratio (SNR) improves in filtered ECG signal, while signal shape remains undistorted. The authors conclude that R-peak detection with MSMP method gives comparable results from existing algorithm like Pan-Tomkins algorithm. AAF algorithm is advantageous over adaptation algorithms like Wiener and LMS algorithm. Overall performance of proposed algorithms is comparatively good.
APA, Harvard, Vancouver, ISO, and other styles
4

Mansouri, Majdi, Khoukhi Lyes, Hichem Snoussi, and Cédric Richard. "Routing Optimization and Secure Target Tracking in Distributed Wireless Sensor Networks." In Wireless Sensor Networks and Energy Efficiency, 396–419. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0101-7.ch019.

Full text
Abstract:
Due to the limited energy supplies of nodes in wireless sensor networks (WSN), optimizing their design under energy constraints, reducing their communication costs, and securing their aggregated data are of paramount importance. To this goal, and in order to efficiently solve the problem of target tracking in WSN with quantized measurements, the authors propose to jointly estimate the target position and the relay location, and select the secure sensor nodes and the best communication path. Firstly, the authors select the appropriate group in order to balance the energy dissipation and to provide the required data of the target in the WSN. This selection is also based on the transmission power between a single sensor and a cluster head (CH). Secondly, the authors detect the malicious sensor nodes based on the information relevance of their measurements. Thirdly, they select the best communication path between the candidate sensor and the CH. Then, the authors estimate jointly the target position and the relay location using Quantized Variational Filtering (QVF) algorithm. The selection of candidate sensors is based on multi-criteria function, which is computed by using the predicted target position provided by the QVF algorithm. The proposed algorithm for the detection of malicious sensor nodes is based on Kullback-Leibler distance between the current target position distribution and the predicted sensor observation, while the best communication path is selected as well as the highest signal-to-noise ratio (SNR) at the CH. The efficiency of the proposed method is validated by extensive simulations in target tracking for wireless sensor networks.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "SNP Filtering"

1

Wang, Eric, Jorge Silva, and Lawrence Carin. "Compressive particle filtering for target tracking." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278595.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Suzdaleva, Evgenia, Ivan Nagy, and Lenka Pavelkova. "Bayesian filtering with discrete-valued state." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278612.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Maiz, Cristina S., Joaquin Miguez, and Petar M. Djuric. "Particle filtering in the presence of outliers." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278645.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Bordin, Claudio J., and Marcelo G. S. Bruno. "Nonlinear distributed blind equalization using network particle filtering." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278538.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sun, Zuwen, and Natalie Baddour. "The Effect of Pulse Compression Chirp Parameters on Profilometry Information and Resolution." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85613.

Full text
Abstract:
Recent developments in imaging systems have seen the implementation of a radar matched-filtering approach. The goal of the imaging system is to obtain information about an unknown object embedded in the system, by controlling the parameters of the input and measuring the response to the known input. The main merit of using matched filtering in imaging systems is the improvement of Signal to Noise Ratio (SNR). However, the correlation process used in matched filtering may result in a loss of resolution. One way to compensate for lost resolution is via pulse compression. Linear frequency modulated sinusoidal waveforms (chirps) have the property of pulse compression after correlation. Hence, both SNR and resolution can be enhanced by matched-filtering and pulse compression with a chirp. However, the theory behind the effect of chirp parameters on resolution is still not clear. In this paper, a one-dimensional theory of matched-filter imaging with a pulse compressed linear frequency modulated sinusoidal chirp is developed. The effect of the chirp parameters on the corresponding signal is investigated, and guidelines for choosing the chirp parameters for resolution considerations are given based on the developed theory and simulations. The results showed that by manipulating the center frequency, bandwidth, and duration of the chirp, the resolution can be easily enhanced.
APA, Harvard, Vancouver, ISO, and other styles
6

Jarchi, Delaram, Bahador Makkiabadi, and Saeid Sanei. "Estimation of trial to trial variability of P300 subcomponents by coupled Rao-blackwellised particle filtering." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278649.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Shbair, Wazen M., Thibault Cholez, Antoine Goichot, and Isabelle Chrisment. "Efficiently bypassing SNI-based HTTPS filtering." In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM). IEEE, 2015. http://dx.doi.org/10.1109/inm.2015.7140423.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Min, Rui, Christelle Garnier, Francois Septier, and John Klein. "Parallel Block Particle Filtering." In 2021 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2021. http://dx.doi.org/10.1109/ssp49050.2021.9513788.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Lu, Yi-Chao Song, and Xu-Zong Chen. "A Novel Demodulation Scheme in the Digital Readout System for a Micro-Machined Gyroscope." In 2007 First International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2007. http://dx.doi.org/10.1115/mnc2007-21400.

Full text
Abstract:
A novel demodulation scheme with Sage-Husa adaptive Kalman filtering algorithm is presented for the digital readout system of a micro-machined gyroscope. Based on the analysis of the detection signal from gyroscope, a mathematical model of the detection signal is established in the condition of the additive white Gaussian noise, and the state and observation model for the demodulation scheme are also given. Moreover, the simulation system is built by the Matlab/Simulink. Assuming the input signal of angular velocity is the step or sine function, and the statistical characteristics of the noise in the detection signal are unknown, simulations are given to demodulate the detection signal with different SNRs (signal-to-noise ratio). In addition, the phase sensitive demodulation scheme in the analog readout system is simulated for comparison. Results show that, the demodulation gains reach +24.23dB (input SNR is above −12.04dB) and +23.92dB (input SNR is above −16.99dB) respectively when the angular velocity input is Ω = 0.005[deg/s] for the step function, while Ω = 0.005 sin(2π × 50t)[deg/ s] for the sine function. Meanwhile, the demodulation gain increases along with the decreasing SNR of the detection signal. Compared with the analog phase sensitive demodulation scheme, the demodulation output with Sage-Husa adaptive Kalman algorithm has the shorter convergence time, but about 5dB higher of MSE (mean square error). In conclusion, the novel demodulation scheme with Sage-Husa adaptive Kalman filtering algorithm can real-timely and precisely estimate the covariance of dynamic noise in the detection signal from gyroscope, and increase the SNR of the demodulation signals dramatically. It can demodulate the angular velocity accurately and quickly, and shows a good practicability.
APA, Harvard, Vancouver, ISO, and other styles
10

Ihler, A. T., J. W. Fisher, and A. S. Willsky. "Particle filtering under communications constraints." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628570.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "SNP Filtering"

1

Mahy, R., B. Rosen, and H. Tschofenig. Filtering Location Notifications in the Session Initiation Protocol (SIP). RFC Editor, January 2012. http://dx.doi.org/10.17487/rfc6447.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'SNP Filtering' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography