Discovering coherent biclusters from gene expression data using zero-suppressed binary decision diagrams.
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Seed-based biclustering of gene expression data.Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization.Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies.Biclustering of gene expression data using reactive greedy randomized adaptive search procedureDiscernment of possible mechanisms of hepatotoxicity via biological processes over-represented by co-expressed genesAn up-down bit pattern approach to coregulated and negative-coregulated gene clustering of microarray data.Biclustering methods: biological relevance and application in gene expression analysis.Transcription factor network reconstruction using the living cell arrayNETWORKS, BIOLOGY AND SYSTEMS ENGINEERING: A CASE STUDY IN INFLAMMATION.
P2860
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P2860
Discovering coherent biclusters from gene expression data using zero-suppressed binary decision diagrams.
description
2005 nî lūn-bûn
@nan
2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Discovering coherent bicluster ...... ssed binary decision diagrams.
@ast
Discovering coherent bicluster ...... ssed binary decision diagrams.
@en
type
label
Discovering coherent bicluster ...... ssed binary decision diagrams.
@ast
Discovering coherent bicluster ...... ssed binary decision diagrams.
@en
prefLabel
Discovering coherent bicluster ...... ssed binary decision diagrams.
@ast
Discovering coherent bicluster ...... ssed binary decision diagrams.
@en
P2093
P356
P1476
Discovering coherent bicluster ...... essed binary decision diagrams
@en
P2093
Giovanni De Micheli
Luca Benini
Sungroh Yoon
P304
P356
10.1109/TCBB.2005.55
P577
2005-10-01T00:00:00Z