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Rozprawy doktorskie na temat „Genetic selection methods”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Shringarpure, Suyash. "Statistical Methods for studying Genetic Variation in Populations." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/117.

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The study of genetic variation in populations is of great interest for the study of the evolutionary history of humans and other species. Improvement in sequencing technology has resulted in the availability of many large datasets of genetic data. Computational methods have therefore become quite important in analyzing these data. Two important problems that have been studied using genetic data are population stratification (modeling individual ancestry with respect to ancestral populations) and genetic association (finding genetic polymorphisms that affect a trait). In this thesis, we develop

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Winkleblack, Scott Kenneth swinkleb. "ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1236.

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GenSel is a genetic selection analysis tool used to determine which genetic markers are informational for a given trait. Performing genetic selection related analyses is a time consuming and computationally expensive task. Due to an expected increase in the number of genotyped individuals, analysis times will increase dramatically. Therefore, optimization efforts must be made to keep analysis times reasonable. This thesis focuses on optimizing one of GenSel’s underlying algorithms for heterogeneous computing. The resulting algorithm exposes task-level parallelism and data-level parallelism pre

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Cule, Erika. "Shrinkage methods for variable selection and prediction with applications to genetic data." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/12811.

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Identifying genotypes using genetic material was at first a painstaking laboratory task. In the decades since the first gene was sequenced, techniques have progressed through milestones requiring massive international collaboration. Today’s genotype sequencing facilities use high-throughput technology to sequence entire genomes within days. Despite these technological improvements, and the resultant volume of genetic data, the identification of meaningful genotype-phenotype associations has not been as straightforward as was anticipated in the pre-genome era. The genetic architecture of many c

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Pecetti, Luciano. "Genetic resources and selection methods for drought and salinity resistance in durum wheat." Thesis, Bangor University, 1994. https://research.bangor.ac.uk/portal/en/theses/genetic-resources-and-selection-methods-for-drought-and-salinity-resistance-in-durum-wheat(119af68a-9751-4451-a54e-6c16fdb941ed).html.

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The relevance of drought and salinity stress under Mediterranean conditions is reviewed and prospects for crop improvement against these constraints are discussed. Field trials under severe drought in Syria highlighted the importance of earliness to ensure satisfactory yields. Peduncle length and frost tolerance were also important attributes. Under more favourable conditions in Sicily, the yield components per se (number of spikes, number of kernels and kernel weight) had greater influence on genotype performance. At both locations of evaluation high yields were attained through different arc

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Sofer, Tamar. "Statistical Methods for High Dimensional Data in Environmental Genomics." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10403.

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In this dissertation, we propose methodology to analyze high dimensional genomics data, in which the observations have large number of outcome variables, in addition to exposure variables. In the Chapter 1, we investigate methods for genetic pathway analysis, where we have a small number of exposure variables. We propose two Canonical Correlation Analysis based methods, that select outcomes either sequentially or by screening, and show that the performance of the proposed methods depend on the correlation between the genes in the pathway. We also propose and investigate criterion for fixing th

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May, Michael. "Data analytics and methods for improved feature selection and matching." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/data-analytics-and-methods-for-improved-feature-selection-and-matching(965ded10-e3a0-4ed5-8145-2af7a8b5e35d).html.

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This work focuses on analysing and improving feature detection and matching. After creating an initial framework of study, four main areas of work are researched. These areas make up the main chapters within this thesis and focus on using the Scale Invariant Feature Transform (SIFT).The preliminary analysis of the SIFT investigates how this algorithm functions. Included is an analysis of the SIFT feature descriptor space and an investigation into the noise properties of the SIFT. It introduces a novel use of the a contrario methodology and shows the success of this method as a way of discrimin

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Rönnegård, Lars. "Selection, maternal effects and inbreeding in reindeer husbandry." Uppsala : Dept. of Animal Breeding and Genetics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/a370.pdf.

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Shen, Xia. "Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation." Doctoral thesis, Uppsala universitet, Beräknings- och systembiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170091.

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This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL m

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Flachenecker, Christian. "Response to modified recurrent full-sib selection in two European F2 maize populations analyzed with quantitative genetic methods." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-1752.

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Gadiraju, Sriphani Raju. "Modified selection mechanisms designed to help evolution strategies cope with noisy response surfaces." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-07022003-164112.

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Rostellato, Roberta. "Innovation in the pig breeding sector: new traits, new models and new methods in breeding value prediction." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424000.

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The most important income for the pig industry in Italy arises from the processing of meat in high-added-value typical products, mainly dry-cured hams having Protected Designation of Origin (PDO) label. Even through use of purebred pigs is not an exception, raw thighs are largely obtained from crossbred (CB) animals, which are slaughtered at heavy body weight (BW) (nearly 165 kg) and advanced age (270 d or more). Breeding programs of pig lines linked to dry-cured ham production should focus on enhancement of growth performance, carcass traits and qualitative and technological properties of g

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CANNAS, LAURA MARIA. "A framework for feature selection in high-dimensional domains." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266105.

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The introduction of DNA microarray technology has lead to enormous impact in cancer research, allowing researchers to analyze expression of thousands of genes in concert and relate gene expression patterns to clinical phenotypes. At the same time, machine learning methods have become one of the dominant approaches in an effort to identify cancer gene signatures, which could increase the accuracy of cancer diagnosis and prognosis. The central challenges is to identify the group of features (i.e. the biomarker) which take part in the same biological process or are regulated by the same mechanism

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Jones, Huw Euros. "Methods of incorporating market signals and measures of carcass shape into genetic selection indices for terminal sire breeds of sheep." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/15120.

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The price obtained for lamb carcass has a direct effect on the profitability of a sheep and hence market requirements should be directly reflected in the objective of any breeding program for sheep. Despite their importance, market requirements are often assumed rather than known and market prices are not always used to form the objective. Moreover, although carcass shape affects commercial value, it has not been directly considered in current breeding programs. The aims of this study were (i) to establish the requirements of the current and likely future markets for lamb (ii) to develop metho

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Parisi, Luca. "Machine Learning-based Feature Selection and Optimisation for Clinical Decision Support Systems. Optimal Data-driven Feature Selection Methods for Binary and Multi-class Classification Problems: Towards a Minimum Viable Solution for Predicting Early Diagnosis and Prognosis." Thesis, University of Bradford, 2019. http://hdl.handle.net/10454/18417.

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This critical synopsis of prior work by Luca Parisi is submitted in support of a PhD by Published Work. The work focuses on deriving accurate, reliable and explainable clinical decision support systems as minimum clinically viable solutions leveraging Machine Learning (ML) and evolutionary algorithms, for the first time, to facilitate early diagnostic predictions of Parkinson's Disease and hypothermia in hospitals, as well as prognostic predictions of optimal postoperative recovery area and of chronic hepatitis. Despite the various pathological aetiologies, the underlying capabil

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He, Jeannie. "Automatic Diagnosis of Parkinson’s Disease Using Machine Learning : A Comparative Study of Different Feature Selection Algorithms, Classifiers and Sampling Methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301616.

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Over the past few years, several studies have been published to propose algorithms for the automated diagnosis of Parkinson’s Disease using simple exams such as drawing and voice exams. However, at the same time as all classifiers appear to have been outperformed by another classifier in at least one study, there appear to lack a study on how well different classifiers work with a certain feature selection algorithm and sampling method. More importantly, there appear to lack a study that compares the proposed feature selection algorithm and/or sampling method with a baseline that does not invo

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Carneiro, Renato Lajarim. "Algoritimos geneticos para seleção de variaveis em metodos de calibração de segunda ordem." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249308.

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Orientador: Ronei Jesus Poppi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Quimica<br>Made available in DSpace on 2018-08-08T23:32:47Z (GMT). No. of bitstreams: 1 Carneiro_RenatoLajarim_M.pdf: 4176371 bytes, checksum: cbe2edc08ad07ea0e4607e69fc38aec5 (MD5) Previous issue date: 2007<br>Resumo: Esse trabalho teve por objetivo desenvolver um programa em MatLab baseado no Algoritmo Genético (GA) para aplicar e verificar as principais vantagens deste na seleção de variáveis para métodos de calibração de segunda ordem (BLLS-RBL, PARAFAC e N-PLS). Para esta finalidade

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Breheny, Patrick John Huang Jian. "Regularized methods for high-dimensional and bi-level variable selection." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/325.

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Apitz, Juan Carlos. "A statistical method for selection, classification, and network construction in genetic systems." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10127023.

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<p> From the combination of Mendelian Genetics and Biometrics in the early 1900s to the completion of the Human Genome Project in 2003, statistical analysis has played a key role in the advancement of genetics and genomic research. Although much progress has been achieved in these fields, singular cures to genetic disease such as cancer still elude us. </p><p> The purpose of this work is to formulate a statistical framework to aid the understand- ing of genetic expression as a complex system. The primary idea is that the complexity of genomic systems can be represented as a network and we us

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Stults, Ian Collier. "A multi-fidelity analysis selection method using a constrained discrete optimization formulation." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31706.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Mavris, Dimitri; Committee Member: Beeson, Don; Committee Member: Duncan, Scott; Committee Member: German, Brian; Committee Member: Kumar, Viren. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Coop, Graham M. "The likelihood of gene trees under selective models." Thesis, University of Oxford, 2004. http://ora.ox.ac.uk/objects/uuid:ba97d36c-61c1-40c8-a1f4-e7ddc8918d5b.

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The extent to which natural selection shapes diversity within populations is a key question for population genetics. Thus, there is considerable interest in quantifying the strength of selection. In this thesis a full likelihood approach for inference about selection at a single site within an otherwise neutral fully-linked sequence of sites is developed. Integral to many of the ideas introduced in this thesis is the reversibility of the diffusion process, and some past approaches to this concept are reviewed. A coalescent model of evolution is used to model the ancestry of a sample of DNA seq

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Giess, Lane Kurtis. "Development of a feet and leg scoring method and selection tool for improved soundness in Red Angus cattle." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/38258.

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Master of Science<br>Department of Animal Sciences and Industry<br>Robert L. Weaber<br>Feet and leg soundness is an important trait for beef producers as it has an impact on cow longevity and animal well-being. The objective of this study was to investigate genetic parameter estimates for feet and leg traits, understand the relationship between feet and leg traits and Stayability EPD, and develop a scoring method for feet and leg traits in Red Angus cattle. Cattle were scored on 14 subjective traits: Body Condition Score (BCS), Front Hoof Angle (FA), Front Heel Depth (FHD), Front Hoof Claw Sha

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Difford, Gareth Frank. "Critical assessment of the “internal reference” method to eliminate non-genetic effects within a Combined Family Selection program on the abalone species (Haliotis midae)." Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85658.

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Thesis (MScAgric)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: The aim of this study was to critically assess the implementation of the internal reference method within the most recent 173 full-sibling growth trial of the Innovation Fund Abalone Breeding Project. The trial was conducted over two locations for a period of five years, with minimal replication for the majority of test families and a single full-sibling family was entered into each experimental unit (basket) as an internal reference group. The primary focus was firstly, to validate the performance of the internal refe

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Baker, Peter John. "Applied Bayesian modelling in genetics." Thesis, Queensland University of Technology, 2001.

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Arantes, Flávio Cese. "Adaptabilidade e estabilidade de progênies de Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell. - Arg. em três diferentes regiões do estado de São Paulo /." Ilha Solteira : [s.n.], 2010. http://hdl.handle.net/11449/98765.

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Resumo: Clones com alta produtividade, adaptabilidade e estabilidade a vários ambientes são imprescindíveis para o desenvolvimento da heveicultura no Brasil. O objetivo do trabalho foi selecionar progênies com maior adaptabilidade e estabilidade a partir do diâmetro da planta a 50 cm do solo (DA50) e a produção de borracha seca (PBS, a partir do teste Hamaker Morris Mann modificado), de uma população de seringueira, aos três anos de idade, plantada em três ambientes distintos (Selvíria-MS, Votuporanga-SP e Colina-SP), utilizando-se do método MHPRVG (média harmônica da performance relativa dos

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Arantes, Flávio Cese [UNESP]. "Adaptabilidade e estabilidade de progênies de Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell. - Arg. em três diferentes regiões do estado de São Paulo." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/98765.

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Made available in DSpace on 2014-06-11T19:29:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-02-23Bitstream added on 2014-06-13T20:39:10Z : No. of bitstreams: 1 arantes_fc_me_ilha.pdf: 1168321 bytes, checksum: ea63f91d3265eeb7fda8cc1c3380e584 (MD5)<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>Clones com alta produtividade, adaptabilidade e estabilidade a vários ambientes são imprescindíveis para o desenvolvimento da heveicultura no Brasil. O objetivo do trabalho foi selecionar progênies com maior adaptabilidade e estabilidade a partir do diâmetro da planta a

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Rodde, Charles. "Individual feed efficiency in fishes : direct measurement methods and indirect predictors to develop selective breeding programs in two major aquaculture species : European sea bass Dicentrarchus labrax and Nile tilapia Oreochromis niloticus." Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTG044.

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L’aliment utilisé en pisciculture est onéreux et impacte l’environnement. Améliorer l’efficacité alimentaire (EA) pour produire la même quantité de poisson en utilisant moins d’aliment est un objectif majeur pour rendre l’aquaculture plus durable. Cet objectif pourrait être atteint grâce à la sélection génétique, mais cela nécessite des méthodes de phénotypage individuel, et mesurer la prise alimentaire individuelle est complexe chez le poisson. Les deux meilleures méthodes, à l’heure actuelle, consistent soit à élever les poissons individuellement, soit à les marquer avec un tag externe pour

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Santos, Lidiane Gomes dos. "Estratégias de seleção combinando informação individual e de família utilizando simulação de dados." Universidade Federal de Viçosa, 2007. http://locus.ufv.br/handle/123456789/5863.

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Made available in DSpace on 2015-03-26T13:55:32Z (GMT). No. of bitstreams: 1 texto completo.pdf: 484099 bytes, checksum: 2183b6947a541e4acdedb364504ccd85 (MD5) Previous issue date: 2007-08-10<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>The superior phenotypes selection, in individual or families, is a practice of considerable importance for the improvers , once to obtain improved populations it is necessary to select and matings among or inside of families. This work s aim was to compare the efficiency of some arrangements between the individual selection and the se

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Kršák, Martin. "Optimalizace procesů v logistice s podporou vizualizace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403163.

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The master thesis aims to design, implement, and compare algorithms that optimize processes in logistics, mainly in the planning phase. Heuristics and approximation genetic algorithms will find an near-optimal solution to NP-hard problem, such as the traveling salesman problem, with a delay less than several hours. The role of this algorithm is to plan an efficient route for garbage trucks that collect and distribute large-scale waste to waste yards in a specific city. The goal of the optimization is to minimize the shipping costs.

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Sasse, Hugh Granville. "Enhancing numerical modelling efficiency for electromagnetic simulation of physical layer components." Thesis, De Montfort University, 2010. http://hdl.handle.net/2086/4406.

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The purpose of this thesis is to present solutions to overcome several key difficulties that limit the application of numerical modelling in communication cable design and analysis. In particular, specific limiting factors are that simulations are time consuming, and the process of comparison requires skill and is poorly defined and understood. When much of the process of design consists of optimisation of performance within a well defined domain, the use of artificial intelligence techniques may reduce or remove the need for human interaction in the design process. The automation of human pro

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Wyckoff, Gerald J. "Detecting positive selection at the molecular level : new and revised methods for the analysis of divergence and polymorphism /." 2000. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:9978089.

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Cheng, Jing-Lin, and 鄭敬霖. "Comparison of Bayesian variable selection methods for genetic data from different populations." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/39412267748682116541.

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碩士<br>國立彰化師範大學<br>統計資訊研究所<br>101<br>Many methodologies for variable or model selection are available in statistical researches. In mixed-effects models, a fully Bayesian variable selection allows a flexible method for incorporation of prior knowledge into the selection of the variables to select the fixed and random components simultaneously. In this talk, we focus on comparing two Bayesian variable selection methods, stochastic search variable selection (SSVS) and Holmes and Held algorithm (H-H algorithm) that is a special case of the reversible jump Markov chain Monte Carlo (RJMCMC) for logi

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Abraha, T. "Selection methods and genetic variability for traits related to drought resistance in sorghum." Thesis, 1999. http://oar.icrisat.org/944/1/62576.pdf.

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Hsuan, Jung-Fu, and 軒榮富. "Fundamental Stock Selection Using Genetic Algorithm Optimization on Investment Performance between James P. O’shaughnessy and Comprehensive Index Selection Methods." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/96evwu.

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碩士<br>國立高雄應用科技大學<br>金融資訊研究所<br>102<br>This paper will apply James O’shaughnessy and comprehensive index selection methods to the stock market in Taiwan. The purpose of this paper is to explore the relationship between financial statements and stock prices used in the stock market investment. James O'shaughnessy stock selection method and comprehensive index stock selection method utilize genetic algorithms to perform the optimization of the threshold value, and this study also compares return of investment with three distinct fundamental stock selection rules which are “original James O'shaugh

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Luo, Zhaoyu. "Statistical methods for gene selection using differential gene expression and building gene co-expression networks." 2009. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051870.

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Haque, Mohammad Nazmul. "Genetic algorithm-based ensemble methods for large-scale biological data classification." Thesis, 2017. http://hdl.handle.net/1959.13/1335393.

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Research Doctorate - Doctor of Philosophy (PhD)<br>We study the search for the best ensemble combinations from the wide variety of heterogeneous base classifiers. The number of possible ways to create the ensemble with a large number of base classifiers is exponential to the base classifiers pool size. To search for the best combinations from that wide search space is not suitable for exhaustive search because of it's exponential growth with the ensemble size. Hence, we employed a genetic algorithm to find the best ensemble combinations from a pool of heterogeneous base classifiers. The classi

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Flachenecker, Christian [Verfasser]. "Response to modified recurrent full-sib selection in two European F2 maize populations analyzed with quantitative genetic methods / von Christian Flachenecker." 2007. http://d-nb.info/983345090/34.

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Yu-HengWu and 吳雨衡. "An investigation of preprocessing and parameter estimation methods for hit selection and dynamical modelling of genetic circuits in a systems biology context." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ym53q2.

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碩士<br>國立成功大學<br>機械工程學系<br>107<br>Systems biology studies the interaction of biological components from a systematic point of view, which benefits applications, such as synthetic biology and drug discovery. The field took off thanks to high-throughput measurement technologies in the late 1990s. To extract useful information from the measurements, it is crucial to do system identification and data preprocessing. Here we investigate data preprocessing and parameter estimation methods on two separate topics of systems biology, which are system identification of the GAL1 synthetic genetic circuit f

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McGovern, Kathleen. "The challenge of 5,250: a retrospective analysis of participant recruitment methods utilized by the epilepsy phenome/genome project." Thesis, 2014. https://hdl.handle.net/2144/14371.

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Epilepsy is a common neurological disorder, with potentially devastating consequences, and thus, elucidating the etiology bears immense potential for developing methods for early detection and prevention, targeted treatment options, and overall improvements to quality of life for millions of people worldwide. In 2007, the Epilepsy Phenome/Genome Project (EPGP) set out to compile the largest ever, detailed phenotype-genotype dataset to begin to unravel the complex genetic underpinnings of epilepsy. Over the course of five years, the EPGP sought to enroll a total of 5,250 participants consisting

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"Bayesian approach for two model-selection-related bioinformatics problems." 2013. http://library.cuhk.edu.hk/record=b5549716.

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在貝葉斯推理框架下，貝葉斯方法可以通過數據推斷複雜概率模型中的參數和結構。它被廣泛應用於多个領域。對於生物信息學問題，貝葉斯方法同樣也是一個理想的方法。本文通過介紹新的貝葉斯模型和計算方法討論並解決了兩個與模型選擇相關的生物信息學問題。<br>第一個問題是關於在DNA 序列中的模式識別的相關研究。串聯重複序列片段在DNA 序列中經常出現。它對於基因組進化和人類疾病的研究非常重要。在這一部分，本文主要討論不確定數目的同一模式的串聯重複序列彌散分佈在同一個序列中的情況。我們首先對串聯重複序列片段構建概率模型。然後利用馬爾可夫鏈蒙特卡羅算法探索後驗分佈進而推斷出串聯重複序列的重複片段的模式矩陣和位置。此外，利用RJMCMC 算法解決由不確定數目的重複片段引起的模型選擇問題。<br>另一個問題是對於生物分子的構象轉換的分析。一組生物分子的構象可被分成幾個不同的亞穩定狀態。由於生物分子的功能和構象之間的固有聯繫，構象轉變在不同的生物分子的生物過程中都扮演者非常重要的角色。一般我們從分子動力學模擬中可以得到構象轉換的數據。基於從分子動力學模擬中得到的微觀狀態水準上的構象轉換資訊，我們利用貝葉斯方法研究從微觀狀態到可變數目的亞穩定狀態的聚合問題。<br>本文通過對以上兩個問題討論闡釋貝葉斯方法在生物信息學研究的多個方面具備優勢。這包括闡述生物問題的多變性，處理噪聲和失數據，以及解決模型選擇問題。

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Nyinyi, Catherine Nyaguthii. "Assessing the efficiency of phenotypic and molecular genotype selection methods for complex traits in Soybean." 2011. http://trace.tennessee.edu/utk_graddiss/1158.

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Soybean [Glycine max (L.) Merrill] is an important source of protein and oil for both nutritional and industrial applications. Increasing seed yield and protein concentration is the main goal of many soybean breeders to meet market demands. Soybean breeders have occasionally succeeded in producing high yielding cultivars with increased protein content using conventional means despite the negative correlation that exists between these two traits. The efficiency of breeding for seed yield and protein concentration improvement in soybean could be increased using marker assisted selection (MAS) br

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Wu, Guan-Ting, and 吳冠霆. "Product-Part-Change Planning：Part Supplier Selection by Using Fuzzy Theory, Taguchi Method and Genetic Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/c2qt56.

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碩士<br>國立臺北科技大學<br>工業工程與管理研究所<br>95<br>In recent years, product-part-change (PPC) becomes more and more frequent thanks to the fierce market competition, shortening product life and rising consumer consciousness. When we execute PPC planning, how to use the shortest time to decide the most suitable part suppliers which becomes the serious lessons that enterprises focus on. Many exstended issues by PPC also become the major issue faced by various enterprises. Therefore, we first lists parts through Bill Of Material(BOM) in order to assess the assembling relationship of various parts. Then we get

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Kao, Shih-Lin, and 高世霖. "A Repeated Agent Gaming and Genetic Algorithm Hybrid Method for Factory Location Setting and Factory/Supplier Selection Problems." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/10970962898628168385.

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碩士<br>國立臺灣大學<br>工業工程學研究所<br>94<br>This paper presents two supply chain design problems: 1) a factory location setting and factory selection problem, and 2) a factory location setting and factory/supplier selection problem. The first problem involves a number of location fixed retailers choosing a factory to supply their demands and a number of factories whose locations are to be determined. The goal is to minimize the sum of transportation and manufacturing costs. In the second problem, the raw material procurement cost is additively added, since a number of material suppliers are involved and

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Lee, Chien-Pang, and 李建邦. "The Study on Gene Selection and Sample Classification Based on Gene Expression Data Using Adaptive Genetic Algorithms / k-Nearest Neighbors Method." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/01635740897987498234.

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碩士<br>國立中興大學<br>農藝學系所<br>94<br>Microarray technology has become a valuable tool for studying gene expression in recent years. The main difference between microarray and traditional methods is that microarray can measure thousands of genes at the same time. In the past, researchers always used parametric statistical methods to find the significant genes. However, microarray data often cannot obey some assumptions of parametric statistical methods, and type I error would be over expanded while each gene was tested for significance. Therefore, this research was expected to find a variable selecti

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"Optimising aspects of a soybean breeding programme." Thesis, 2008. http://hdl.handle.net/10413/738.

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Wang, Chi-Ching, and 王繼青. "Combining Taguchi Methods, Neural Networks, Desirability Function and Genetic Algorithms for Optimizing the Parameter Design of Solar Energy Selective Absorption Film Continuous Sputtering Process." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/56113979217144032214.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>99<br>“Anti-Global Warming” is a hot topic around the world. A growing number of countries have participated in the research of alternative energies. Industrial Technology Research Institute of Taiwan (ITRT) has already developed the technology in solar energy selective absorption film continuous sputtering process. The institute established the first Roll-to-Roll continuous sputtering process machine in Taiwan based on the batch sputtering process technology. ITRT attempts to combine the technology and the industrial engineering knowledge to optimize manufacturi

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