Integrative analysis of high-throughput cancer studies with contrasted penalization.
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TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packagesClassification of early-stage non-small cell lung cancer by weighing gene expression profiles with connectivity information.Integrative sparse principal component analysis of gene expression data.Analysis of cancer gene expression data with an assisted robust marker identification approach.Clustering multilayer omics data using MuNCut.
P2860
Integrative analysis of high-throughput cancer studies with contrasted penalization.
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2014 թվականի հունվարին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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Integrative analysis of high-throughput cancer studies with contrasted penalization.
@ast
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@en
type
label
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@ast
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@en
prefLabel
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@ast
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@en
P2093
P2860
P356
P1433
P1476
Integrative analysis of high-throughput cancer studies with contrasted penalization.
@en
P2093
BenChang Shia
Shuangge Ma
Xingjie Shi
P2860
P304
P356
10.1002/GEPI.21781
P577
2014-01-06T00:00:00Z