How to decide which are the most pertinent overly-represented features during gene set enrichment analysis.
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Scientific research in the age of omics: the good, the bad, and the sloppyBioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene listsOptimal Threshold Determination for Interpreting Semantic Similarity and Particularity: Application to the Comparison of Gene Sets and Metabolic Pathways Using GO and ChEBI.Semantic particularity measure for functional characterization of gene sets using gene ontology.Positional gene enrichment analysis of gene sets for high-resolution identification of overrepresented chromosomal regions.
P2860
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis.
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2007 nî lūn-bûn
@nan
2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
How to decide which are the mo ...... gene set enrichment analysis.
@ast
How to decide which are the mo ...... gene set enrichment analysis.
@en
How to decide which are the mo ...... gene set enrichment analysis.
@nl
type
label
How to decide which are the mo ...... gene set enrichment analysis.
@ast
How to decide which are the mo ...... gene set enrichment analysis.
@en
How to decide which are the mo ...... gene set enrichment analysis.
@nl
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How to decide which are the mo ...... gene set enrichment analysis.
@ast
How to decide which are the mo ...... gene set enrichment analysis.
@en
How to decide which are the mo ...... gene set enrichment analysis.
@nl
P2860
P356
P1433
P1476
How to decide which are the mo ...... gene set enrichment analysis.
@en
P2093
Isabelle Dutour
Roland Barriot
P2860
P2888
P356
10.1186/1471-2105-8-332
P577
2007-09-11T00:00:00Z
P5875
P6179
1016031833