Performance of random forest when SNPs are in linkage disequilibrium.
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Regularized Machine Learning in the Genetic Prediction of Complex TraitsATHENA: a tool for meta-dimensional analysis applied to genotypes and gene expression data to predict HDL cholesterol levelsGradient Boosting as a SNP Filter: an Evaluation Using Simulated and Hair Morphology Data.Parallel classification and feature selection in microarray data using SPRINT.Genome-wide association data classification and SNPs selection using two-stage quality-based Random ForestsModeling X Chromosome Data Using Random Forests: Conquering Sex BiasThe behaviour of random forest permutation-based variable importance measures under predictor correlation.An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies.On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional dataAn application of Random Forests to a genome-wide association dataset: methodological considerations & new findingsMaximal conditional chi-square importance in random forests.Data mining of high density genomic variant data for prediction of Alzheimer's disease riskEvidence for CRHR1 in multiple sclerosis using supervised machine learning and meta-analysis in 12,566 individuals.Random forests for genomic data analysis.A two-stage random forest-based pathway analysis methodSNP interaction detection with Random Forests in high-dimensional genetic dataAn integrated approach to reduce the impact of minor allele frequency and linkage disequilibrium on variable importance measures for genome-wide data.Integrative analysis using module-guided random forests reveals correlated genetic factors related to mouse weight.Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest.Pathway-based identification of SNPs predictive of survivalLetter to the editor: on the stability and ranking of predictors from random forest variable importance measures.Exploiting SNP correlations within random forest for genome-wide association studiesRandom forests for genetic association studies.Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.The use of classification trees for bioinformatics.SYMPHONY, an information-theoretic method for gene-gene and gene-environment interaction analysis of disease syndromes.A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer's Disease Diagnosis.ATHENA: the analysis tool for heritable and environmental network associations.Immunologic profiles distinguish aviremic HIV-infected adults.Lineage structure of Streptococcus pneumoniae may be driven by immune selection on the groEL heat-shock protein.Applications of random forest feature selection for fine-scale genetic population assignment.Cost-Effectiveness of Peer- Versus Venue-Based Approaches for Detecting Undiagnosed HIV Among Heterosexuals in High-Risk New York City Neighborhoods.AUC-RF: a new strategy for genomic profiling with random forest.Mining data with random forests: current options for real-world applicationsOverview of random forest methodology and practical guidance with emphasis on computational biology and bioinformaticsTransition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS
P2860
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P2860
Performance of random forest when SNPs are in linkage disequilibrium.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Performance of random forest when SNPs are in linkage disequilibrium.
@ast
Performance of random forest when SNPs are in linkage disequilibrium.
@en
type
label
Performance of random forest when SNPs are in linkage disequilibrium.
@ast
Performance of random forest when SNPs are in linkage disequilibrium.
@en
prefLabel
Performance of random forest when SNPs are in linkage disequilibrium.
@ast
Performance of random forest when SNPs are in linkage disequilibrium.
@en
P2860
P50
P356
P1433
P1476
Performance of random forest when SNPs are in linkage disequilibrium
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-10-78
P577
2009-03-05T00:00:00Z