The multi-omic landscape of transcription factor inactivation in cancer.
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Systems-epigenomics inference of transcription factor activity implicates aryl-hydrocarbon-receptor inactivation as a key event in lung cancer development.Statistical and integrative system-level analysis of DNA methylation data.Tensorial blind source separation for improved analysis of multi-omic data.DNA Methylation Patterns in Normal Tissue Correlate more Strongly with Breast Cancer Status than Copy-Number Variants.
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The multi-omic landscape of transcription factor inactivation in cancer.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 25 August 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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The multi-omic landscape of transcription factor inactivation in cancer.
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The multi-omic landscape of transcription factor inactivation in cancer.
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type
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The multi-omic landscape of transcription factor inactivation in cancer.
@en
The multi-omic landscape of transcription factor inactivation in cancer.
@nl
prefLabel
The multi-omic landscape of transcription factor inactivation in cancer.
@en
The multi-omic landscape of transcription factor inactivation in cancer.
@nl
P2093
P2860
P1433
P1476
The multi-omic landscape of transcription factor inactivation in cancer.
@en
P2093
Andrew E Teschendorff
Shijie C Zheng
Stephan Beck
P2860
P2888
P356
10.1186/S13073-016-0342-8
P577
2016-08-25T00:00:00Z
P6179
1017739935