A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data.
about
A systematic approach to infer biological relevance and biases of gene network structures.Mining gene expression data by interpreting principal components.Connectivity in the yeast cell cycle transcription network: inferences from neural networks.Comparative genomics modeling of the NRSF/REST repressor network: from single conserved sites to genome-wide repertoireSystems-level analyses identify extensive coupling among gene expression machines
P2860
A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2005年の論文
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2005年学术文章
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2005年学术文章
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2005年学术文章
@zh-my
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@zh-sg
2005年學術文章
@yue
name
A mathematical and computation ...... rge-scale gene expression data
@nl
A mathematical and computation ...... ge-scale gene expression data.
@ast
A mathematical and computation ...... ge-scale gene expression data.
@en
type
label
A mathematical and computation ...... rge-scale gene expression data
@nl
A mathematical and computation ...... ge-scale gene expression data.
@ast
A mathematical and computation ...... ge-scale gene expression data.
@en
prefLabel
A mathematical and computation ...... rge-scale gene expression data
@nl
A mathematical and computation ...... ge-scale gene expression data.
@ast
A mathematical and computation ...... ge-scale gene expression data.
@en
P2093
P2860
P356
P1476
A mathematical and computation ...... ge-scale gene expression data.
@en
P2093
Barbara J Wold
Benjamin J Bornstein
Brandon King
Christopher E Hart
Diane Trout
Eric Mjolsness
Lucas Sharenbroich
P2860
P304
P356
10.1093/NAR/GKI536
P407
P577
2005-05-10T00:00:00Z