Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets
about
Utilizing somatic mutation data from numerous studies for cancer research: proof of concept and applications.ONE-CLASS DETECTION OF CELL STATES IN TUMOR SUBTYPESCancer diagnostics: The journey from histomorphology to molecular profiling.Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate.Precision annotation of digital samples in NCBI's gene expression omnibus.Association between expression of random gene sets and survival is evident in multiple cancer types and may be explained by sub-classification.
P2860
Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets
description
2015 nî lūn-bûn
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2015年の論文
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name
Integrated analysis of numerou ...... ers and proposing drug targets
@en
Integrated analysis of numerou ...... ers and proposing drug targets
@nl
type
label
Integrated analysis of numerou ...... ers and proposing drug targets
@en
Integrated analysis of numerou ...... ers and proposing drug targets
@nl
prefLabel
Integrated analysis of numerou ...... ers and proposing drug targets
@en
Integrated analysis of numerou ...... ers and proposing drug targets
@nl
P2860
P356
P1476
Integrated analysis of numerou ...... ers and proposing drug targets
@en
P2093
David Amar
Shai Izraeli
P2860
P304
P356
10.1093/NAR/GKV810
P407
P577
2015-08-10T00:00:00Z