Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
about
Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiaeMetabolic network driven analysis of genome-wide transcription data from Aspergillus nidulansGlobal transcriptional and physiological responses of Saccharomyces cerevisiae to ammonium, L-alanine, or L-glutamine limitation.Accounting for noise when clustering biological data.Mapping the polysaccharide degradation potential of Aspergillus niger.Graph-based consensus clustering for class discovery from gene expression data.Clustering cancer gene expression data by projective clustering ensemble.Transcription factor control of growth rate dependent genes in Saccharomyces cerevisiae: a three factor design.Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: a quantitative analysis of a compendium of chemostat-based transcriptome data.Proteome analysis of Aspergillus niger: lactate added in starch-containing medium can increase production of the mycotoxin fumonisin B2 by modifying acetyl-CoA metabolism.Transcriptome signatures in Helicobacter pylori-infected mucosa identifies acidic mammalian chitinase loss as a corpus atrophy markerTranscriptional regulation of gene expression clusters in motor neurons following spinal cord injuryA permutation test for determining significance of clusters with applications to spatial and gene expression data.Mapping the interaction of Snf1 with TORC1 in Saccharomyces cerevisiae.Multilevel regulation of growth rate in yeast revealed using systems biology.Cross-species microarray analysis with the OSCAR system suggests an INSR->Pax6->NQO1 neuro-protective pathway in aging and Alzheimer's disease.Systemic analysis of the response of Aspergillus niger to ambient pH.Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets
P2860
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P2860
Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
description
2005 nî lūn-bûn
@nan
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
2005年论文
@zh
2005年论文
@zh-cn
name
Robust multi-scale clustering ...... with the consensus algorithm.
@en
Robust multi-scale clustering ...... with the consensus algorithm.
@nl
type
label
Robust multi-scale clustering ...... with the consensus algorithm.
@en
Robust multi-scale clustering ...... with the consensus algorithm.
@nl
prefLabel
Robust multi-scale clustering ...... with the consensus algorithm.
@en
Robust multi-scale clustering ...... with the consensus algorithm.
@nl
P50
P356
P1433
P1476
Robust multi-scale clustering ...... with the consensus algorithm.
@en
P2093
Thomas Grotkjaer
P356
10.1093/BIOINFORMATICS/BTI746
P407
P577
2005-10-27T00:00:00Z