A variable selection method for genome-wide association studies.
about
Multilocus genetic analysis of brain imagesIntegrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's diseaseRegularized Machine Learning in the Genetic Prediction of Complex TraitsBag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.PUMA: a unified framework for penalized multiple regression analysis of GWAS dataFVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.A forest-based feature screening approach for large-scale genome data with complex structures.A novel Markov Blanket-based repeated-fishing strategy for capturing phenotype-related biomarkers in big omics dataPredicting disease risk using bootstrap ranking and classification algorithms.Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clusteringSystems biology data analysis methodology in pharmacogenomics.Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis.Joint analysis of miRNA and mRNA expression data.An integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data.Controlling false discoveries in high-dimensional situations: boosting with stability selection.Phenotype prediction from genome-wide association studies: application to smoking behaviorsA model-free approach for detecting interactions in genetic association studiesAnalyzing genome-wide association studies with an FDR controlling modification of the Bayesian Information Criterion.Detecting genome-wide epistases based on the clustering of relatively frequent items.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averagingGenotype distribution-based inference of collective effects in genome-wide association studies: insights to age-related macular degeneration disease mechanism.A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIESBAYESIAN GROUP LASSO FOR NONPARAMETRIC VARYING-COEFFICIENT MODELS WITH APPLICATION TO FUNCTIONAL GENOME-WIDE ASSOCIATION STUDIES.Global network alignment using multiscale spectral signatures.Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection.Genetic variants and their interactions in disease risk prediction - machine learning and network perspectivesNetwork-guided sparse regression modeling for detection of gene-by-gene interactions.Assessing statistical significance in multivariable genome wide association analysisCombining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies.Controlling the Rate of GWAS False Discoveries.TSGSIS: A High-dimensional Grouped Variable Selection Approach for Detection of Whole-genome SNP-SNP Interactions.Fine mapping by composite genome-wide association analysis.Prioritizing individual genetic variants after kernel machine testing using variable selection.The use of vector bootstrapping to improve variable selection precision in Lasso models.Score test variable screening.Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs. partial least squaresFARMS: A New Algorithm for Variable Selection.Bayesian and frequentist analysis of an Austrian genome-wide association study of colorectal cancer and advanced adenomas.
P2860
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P2860
A variable selection method for genome-wide association studies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A variable selection method for genome-wide association studies.
@ast
A variable selection method for genome-wide association studies.
@en
A variable selection method for genome-wide association studies.
@nl
type
label
A variable selection method for genome-wide association studies.
@ast
A variable selection method for genome-wide association studies.
@en
A variable selection method for genome-wide association studies.
@nl
prefLabel
A variable selection method for genome-wide association studies.
@ast
A variable selection method for genome-wide association studies.
@en
A variable selection method for genome-wide association studies.
@nl
P2860
P356
P1433
P1476
A variable selection method for genome-wide association studies
@en
P2093
Dan-Yu Lin
P2860
P356
10.1093/BIOINFORMATICS/BTQ600
P407
P50
P577
2010-10-29T00:00:00Z