Analyzing gene expression data in terms of gene sets: methodological issues.
about
Chipster: user-friendly analysis software for microarray and other high-throughput dataDetection of simultaneous group effects in microRNA expression and related target gene setsCHD3 proteins and polycomb group proteins antagonistically determine cell identity in ArabidopsisScientific research in the age of omics: the good, the bad, and the sloppyLessons learned in the analysis of high-dimensional data in vaccinomicsGAGE: generally applicable gene set enrichment for pathway analysisA glance at the applications of Singular Spectrum Analysis in gene expression dataPathway Analysis: State of the ArtIntegrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potentialSystems analysis of high-throughput dataEffect of Dietary Restriction and Subsequent Re-Alimentation on the Transcriptional Profile of Bovine Skeletal MuscleBioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene listsRefinement of light-responsive transcript lists using rice oligonucleotide arrays: evaluation of gene-redundancySelf-contained gene-set analysis of expression data: an evaluation of existing and novel methodsJAG: A Computational Tool to Evaluate the Role of Gene-Sets in Complex TraitsInclusion of a priori information in genome-wide association analysisProbCD: enrichment analysis accounting for categorization uncertaintyGOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene listsTen years of pathway analysis: current approaches and outstanding challengesTime-Course Gene Set Analysis for Longitudinal Gene Expression DataImproving gene set analysis of microarray data by SAM-GS.Gene regulatory networks in lactation: identification of global principles using bioinformatics.Gene set analysis methods applied to chicken microarray expression dataMultidimensional gene set analysis of genomic dataIdentification of functional modules that correlate with phenotypic difference: the influence of network topology.A network-based gene-weighting approach for pathway analysis.THINK Back: KNowledge-based Interpretation of High Throughput data.DNA methylation arrays as surrogate measures of cell mixture distribution.Gene, region and pathway level analyses in whole-genome studiesHarnessing the complexity of gene expression data from cancer: from single gene to structural pathway methodsIntegrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer.GSVA: gene set variation analysis for microarray and RNA-seq data.Redundancy control in pathway databases (ReCiPa): an application for improving gene-set enrichment analysis in Omics studies and "Big data" biology.A decision-theory approach to interpretable set analysis for high-dimensional dataWhole transcriptome profiling of the vernalization process in Lilium longiflorum (cultivar White Heaven) bulbsSecondary analysis of publicly available data reveals superoxide and oxygen radical pathways are enriched for associations between type 2 diabetes and low-frequency variants.Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.Integrative gene set analysis of multi-platform data with sample heterogeneity.SeqGSEA: a Bioconductor package for gene set enrichment analysis of RNA-Seq data integrating differential expression and splicing.Evaluating gene set enrichment analysis via a hybrid data model.
P2860
Q21267172-520E74E1-E089-4398-BD46-6E64EA600B61Q21560981-79C48288-4525-4C4E-901D-7A5B0CA0ACBAQ21563338-059214B5-2A76-482E-9BD1-D36EEEE4BF6BQ24289048-6E9845D9-6D63-4692-B4CD-6513CF6E55BFQ24289396-A14FF1F2-5BBE-45BE-945F-B9CA78155E0BQ24645628-5BFC494C-AD2D-4D7F-B45B-E993D103AF91Q26748497-5A858617-2135-490C-A6DF-73F76FF722D6Q26770725-54E6E6E0-333A-4638-8840-7ADF31094F93Q26782613-F0D67A7B-F06A-446C-950F-190186A79B1CQ27023883-9BAAFCE4-A3FA-4383-A77F-A9A2430F8A6DQ27321363-D793BB92-3616-47BF-BD82-C7B47F3E89F2Q28131785-9CF770B1-A6B9-4A6A-AE9E-3CCF6261D822Q28473725-0224D0B0-F33D-48F2-971F-DA911084BF4CQ28475530-FFBB8328-9EAE-4973-9DA6-566BB2EB4CF3Q28647685-618AD7B4-D70F-4C3D-AF81-99785DDB855AQ28749654-FCA65522-AC7E-4168-B193-0734C50EE943Q28756079-9E60EEFF-1242-4BC0-8726-F015C2EF1416Q29615019-0C78BC22-0EE3-49AD-BFA1-DD589EEB8588Q29615564-F60CAA29-42E5-41D2-88E2-718F11C74873Q30000087-2BD6395A-AAF2-4541-A496-885E3F249D1EQ30479806-F052A49C-DE5C-4A3F-85C0-B8EA22366431Q30481196-9C2433A4-7795-4CF2-8610-8FF00BB5D9DEQ30488898-3278F829-1C67-4294-B70B-859F684C61FBQ30494248-EBC4BF17-7203-4963-938C-C4FFE222FC85Q30494575-9EA6A086-A70A-4601-93B1-657FC72C4C8FQ30506064-E0906182-A1DC-46F6-A511-4027CE00E7E4Q30516022-DA594414-106E-468E-ADEF-F5E851DFC314Q30530775-ED407F28-249C-422F-B1D8-42A101B731BFQ30580981-43BD261B-0BD9-4C48-B58B-9251856BEBABQ30580995-22A846F5-081D-402D-973E-FCDEC917D1EFQ30584010-12DBDE23-8AD9-4962-B310-591CD767813BQ30586230-3450C0B7-85F8-44CB-BE8E-7CA0E4A76ACEQ30646165-B8D9F17D-95AD-4DB4-8E66-0DBC53ACDA65Q30658910-48CD9405-F77B-4FB1-9DFC-15007EF8741FQ30659020-A4A59BE2-0A50-4B75-97F8-2494786D9787Q30661200-235ED29A-C7F4-4490-A723-BF4F83AE818EQ30665314-A76D66A7-C15F-404E-A524-C44096C00FD1Q30747009-C0A3FBBC-586D-46EF-A2FF-EB9914961828Q30758424-1209337C-A6D2-4188-B1D2-BD048D78193BQ30761703-4AB8EF3A-8BEE-4A6E-A987-0BDA3F68A3F0
P2860
Analyzing gene expression data in terms of gene sets: methodological issues.
description
2007 nî lūn-bûn
@nan
2007 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
Analyzing gene expression data in terms of gene sets: methodological issues.
@ast
Analyzing gene expression data in terms of gene sets: methodological issues.
@en
type
label
Analyzing gene expression data in terms of gene sets: methodological issues.
@ast
Analyzing gene expression data in terms of gene sets: methodological issues.
@en
prefLabel
Analyzing gene expression data in terms of gene sets: methodological issues.
@ast
Analyzing gene expression data in terms of gene sets: methodological issues.
@en
P2860
P356
P1433
P1476
Analyzing gene expression data in terms of gene sets: methodological issues.
@en
P2860
P304
P356
10.1093/BIOINFORMATICS/BTM051
P407
P577
2007-02-15T00:00:00Z