about
Speeding up the Consensus Clustering methodology for microarray data analysisGraph-based consensus clustering for class discovery from gene expression data.Discovering multi-level structures in bio-molecular data through the Bernstein inequality.caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.EMA - A R package for Easy Microarray data analysisMerged consensus clustering to assess and improve class discovery with microarray data.Sublineage structure analysis of Mycobacterium tuberculosis complex strains using multiple-biomarker tensors.Critical limitations of consensus clustering in class discoveryPersistent topology and metastable state in conformational dynamics.Stability-based comparison of class discovery methods for DNA copy number profiles.Dynamically weighted clustering with noise set.Probabilistic modeling and machine learning in structural and systems biology
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մայիսին 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
Model order selection for bio-molecular data clustering
@ast
Model order selection for bio-molecular data clustering
@en
type
label
Model order selection for bio-molecular data clustering
@ast
Model order selection for bio-molecular data clustering
@en
prefLabel
Model order selection for bio-molecular data clustering
@ast
Model order selection for bio-molecular data clustering
@en
P2860
P1433
P1476
Model order selection for bio-molecular data clustering
@en
P2093
Alberto Bertoni
P2860
P2888
P356
10.1186/1471-2105-8-S2-S7
P478
P577
2007-05-03T00:00:00Z
P5875
P6179
1033033783