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Journal articles on the topic 'Functional boxplot'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Kosiorowski, Daniel, Jerzy P. Rydlewski, and Zygmunt Zawadzki. "Functional Outliers Detection by the Example of Air Quality Monitoring." Przegląd Statystyczny 65, no. 1 (2019): 83–100. http://dx.doi.org/10.5604/01.3001.0014.0528.

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Methods of functional outliers detection in functional setting have been discussed, i.e. shape outliers and magnitude outliers. Outliergram has been discussed, a tool for functional shape outliers detection. Robust adjusted functional boxplot has been discussed as well, a tool for functional magnitude outliers detection. „The elements of functional outliers analysis have been applied to air pollution data for Katowice and Kraków.”

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2

Lindstrom, Michael R., Hyuntae Jung, and Denis Larocque. "Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly Detection." Entropy 22, no. 12 (2020): 1363. http://dx.doi.org/10.3390/e22121363.

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We present an unsupervised method to detect anomalous time series among a collection of time series. To do so, we extend traditional Kernel Density Estimation for estimating probability distributions in Euclidean space to Hilbert spaces. The estimated probability densities we derive can be obtained formally through treating each series as a point in a Hilbert space, placing a kernel at those points, and summing the kernels (a “point approach”), or through using Kernel Density Estimation to approximate the distributions of Fourier mode coefficients to infer a probability density (a “Fourier app

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3

Lasheras, Fernando Sánchez, Celestino Ordóñez Galán, Paulino José García Nieto, and Esperanza García-Gonzalo. "Detection of Outliers in Pollutant Emissions from the Soto de Ribera Coal-Fired Plant Using Functional Data Analysis: A Case Study in Northern Spain." Proceedings 2, no. 23 (2018): 1473. http://dx.doi.org/10.3390/proceedings2231473.

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The present research uses two different functional data analysis methods called functional high-density region (HDR) boxplot and functional bagplot. Both methodologies were applied for the outlier detection in the time pollutant emissions curves that were built using as inputs the discrete information available from an air quality monitoring data record station. Although the record of pollutant emissions is made in a discrete way, these methodologies consider pollutant emissions over time as curves, with outliers obtained by a comparison of curves instead of vectors. Then the concept of outlie

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4

Sun, Ying, and Marc G. Genton. "Functional Boxplots." Journal of Computational and Graphical Statistics 20, no. 2 (2011): 316–34. http://dx.doi.org/10.1198/jcgs.2011.09224.

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5

Fearn, Tom. "Functional Boxplots." NIR news 22, no. 5 (2011): 19–20. http://dx.doi.org/10.1255/nirn.1260.

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6

Vencalek, Ondrej, and Jan Kyncl. "Analysis of the seasonal incidence of acute respiratory infections including influenza (ARI) in the Czech Republic - possible contribution of the functional data boxplot in epidemiology." Biomedical Papers 161, no. 4 (2017): 381–88. http://dx.doi.org/10.5507/bp.2017.042.

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7

Dai, Wenlin, and Marc G. Genton. "Functional boxplots for multivariate curves." Stat 7, no. 1 (2018): e190. http://dx.doi.org/10.1002/sta4.190.

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8

Hong, Yi, Brad Davis, J. S. Marron, et al. "Statistical atlas construction via weighted functional boxplots." Medical Image Analysis 18, no. 4 (2014): 684–98. http://dx.doi.org/10.1016/j.media.2014.03.001.

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9

Martin-Barragan, B., R. E. Lillo, and J. Romo. "Functional boxplots based on epigraphs and hypographs." Journal of Applied Statistics 43, no. 6 (2015): 1088–103. http://dx.doi.org/10.1080/02664763.2015.1092108.

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10

Hyndman, Rob J., and Han Lin Shang. "Rainbow Plots, Bagplots, and Boxplots for Functional Data." Journal of Computational and Graphical Statistics 19, no. 1 (2010): 29–45. http://dx.doi.org/10.1198/jcgs.2009.08158.

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11

Sun, Ying, and Marc G. Genton. "Adjusted functional boxplots for spatio-temporal data visualization and outlier detection." Environmetrics 23, no. 1 (2011): 54–64. http://dx.doi.org/10.1002/env.1136.

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12

Sheehan, Vivien A., Jacy R. Crosby, Aniko Sabo, et al. "FOXO3 Variants Are Associated With Lower Fetal Hemoglobin Levels In Children With Sickle Cell Disease." Blood 122, no. 21 (2013): 778. http://dx.doi.org/10.1182/blood.v122.21.778.778.

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Abstract Although they ostensibly have a monogenetic disease, individuals with sickle cell anemia (SCA) exhibit wide variability in their degree of clinical severity. One of the most powerful and reproducible predictors of disease severity is the level of endogenous fetal hemoglobin (HbF). Several genetic modifiers of HbF levels have previously been identified, by association with beta globin haplotypes, or by genome wide association studies. These methods are only able to detect common variants, with a minor allele frequency (MAF) greater than 5%. We have applied whole exome sequencing (WES)

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13

Longo, Diane, Brent Louie, Erik Evensen, Rachael E. Hawtin, and Alessandra Cesano. "Impact of Time From Blood Draw to Peripheral Blood Mononuclear Cell (PBMC) Processing and Cryopreservation on Functional Pathway Activity As Measured by Single Cell Network Profiling (SCNP) Assays." Blood 118, no. 21 (2011): 4922. http://dx.doi.org/10.1182/blood.v118.21.4922.4922.

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Abstract Abstract 4922 Cryopreserved peripheral blood mononuclear cells (PBMCs) are routinely used in biomarker development studies. Mutiple pre-analytic parameters related to blood draw, processing, and cryopreservation can impact the quality of PBMC samples used in functional assays. Single cell network profiling (SCNP) is a multi-parameteric flow cytometry based approach that measures intracellular signaling activity in response to extracellular modulators. Preservation of cell viability and functionality is therefore critical to the performance of the SCNP assay. In other immunological ass

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14

Lee, Sze Hwei, and Wen-Chien Chou. "The Clinical and Biological Effects of Expression of Dedicator of Cytokinesis 1 (DOCK1) in Myelodysplastic Syndrome." Blood 128, no. 22 (2016): 5517. http://dx.doi.org/10.1182/blood.v128.22.5517.5517.

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Abstract Background: DOCK1 is an archetype member of the CDM (CED-5, Dock180, Myoblast city) superfamily of guanine nucleotide exchange factors and functions as an RAC activator. DOCK1 is involved in diverse biological processes including cytoskeleton rearrangement, cell motility and phagocytosis. Expression of DOCK1 is ubiquitous except in hematopoietic cells. Several studies highlighted the functional implications of DOCK1 in migratory and invasive properties of cancer cells, yet the roles of DOCK1 in hematological malignancies are not known. Materials and Methods: In this study, we focused

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15

Neri, Paola, Ranjan Maity, Jonathan J. Keats, et al. "Cereblon Splicing of Exon 10 Mediates IMiDs Resistance in Multiple Myeloma: Clinical Validation in the CoMMpass Trial." Blood 128, no. 22 (2016): 120. http://dx.doi.org/10.1182/blood.v128.22.120.120.

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Abstract Background: IMiDs neomorphe the substrates binding of CRL4_DDB1_ROC1 E3 ligase through their interaction with the adaptor protein Cereblon (CRBN) triggering the proteasomal degradation of IKZF1/IKZF3. This binding results from hydrogen bonds forming between the carbonyl residues of the IMiDs' glutarimide moiety and several amino acids within a hydrophobic pocket on the surface of CRBN. This pocket is formed by three tryptophan residues (W380, W386 and W400) mapping to CRBN c-terminus exons 10-11. Others and us, have previously shown that in vitro silencing or knock-out of CRBN is clea

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16

Zhang, Dao wei, Shenghai Zhang, and Jihong Wu. "Expression profile analysis to predict potential biomarkers for glaucoma: BMP1, DMD and GEM." PeerJ 8 (September 3, 2020): e9462. http://dx.doi.org/10.7717/peerj.9462.

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Purpose Glaucoma is the second commonest cause of blindness. We assessed the gene expression profile of astrocytes in the optic nerve head to identify possible prognostic biomarkers for glaucoma. Method A total of 20 patient and nine normal control subject samples were derived from the GSE9944 (six normal samples and 13 patient samples) and GSE2378 (three normal samples and seven patient samples) datasets, screened by microarray-tested optic nerve head tissues, were obtained from the Gene Expression Omnibus (GEO) database. We used a weighted gene coexpression network analysis (WGCNA) to identi

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17

Woo, Dong U., Ho Hwi Jeon, Halim Park, Jin Hwa Park, Yejin Lee, and Yang Jae Kang. "Database: web application for visualization of the cumulated RNAseq data against the salicylic acid (SA) and methyl jasmonate (MeJA) treatment of Arabidopsis thaliana." BMC Plant Biology 20, no. 1 (2020). http://dx.doi.org/10.1186/s12870-020-02659-y.

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Abstract Background Plants have adapted to survive under adverse conditions or exploit favorable conditions in response to their environment as sessile creatures. In a way of plant adaptation, plant hormones have been evolved to efficiently use limited resources. Plant hormones including auxin, jasmonic acid, salicylic acid, and ethylene have been studied to reveal their role in plant adaptation against their environment by phenotypic observation with experimental design such as mutation on hormone receptors and treatment / non-treatment of plant hormones along with other environmental conditi

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18

Yao, Zonghui, Wenlin Dai, and Marc G. Genton. "Trajectory functional boxplots." Stat 9, no. 1 (2020). http://dx.doi.org/10.1002/sta4.289.

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19

Ngo, Duy, Ying Sun, Marc G. Genton, et al. "An exploratory data analysis of electroencephalograms using the functional boxplots approach." Frontiers in Neuroscience 9 (August 19, 2015). http://dx.doi.org/10.3389/fnins.2015.00282.

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20

Schmidt, Christian, Sebastian Bernert, Matthias Sing, et al. "Effects of a Risk-Stratified Treatment in Patients with Chronic Back Pain in Rehabilitation: Results of a Controlled Clinical Trial." Physikalische Medizin, Rehabilitationsmedizin, Kurortmedizin, July 15, 2020. http://dx.doi.org/10.1055/a-1205-1380.

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Abstract Background and Aim The management of chronic low back pain is a persisting challenge for multidisciplinary biopsychosocial rehabilitation (MBR). A promising approach to improve the effectiveness is better individual tailoring of the therapeutic minutes to the impairment. We designed a questionnaire-based algorithm to identify individual risk profiles, which allows physicians and patients to decide upon the kind and amount of suitable and adequate therapeutic components of MBR. Our aim was to test whether the algorithm leads to a shift in the therapeutic components depending on the imp

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21

Cui, Ya, Fanglue Peng, Dan Wang, et al. "3′aQTL-atlas: an atlas of 3′UTR alternative polyadenylation quantitative trait loci across human normal tissues." Nucleic Acids Research, August 25, 2021. http://dx.doi.org/10.1093/nar/gkab740.

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Abstract Genome-wide association studies (GWAS) have identified thousands of non-coding single-nucleotide polymorphisms (SNPs) associated with human traits and diseases. However, functional interpretation of these SNPs remains a significant challenge. Our recent study established the concept of 3′ untranslated region (3′UTR) alternative polyadenylation (APA) quantitative trait loci (3′aQTLs), which can be used to interpret ∼16.1% of GWAS SNPs and are distinct from gene expression QTLs and splicing QTLs. Despite the growing interest in 3′aQTLs, there is no comprehensive database for users to se

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