Learning oncogenic pathways from binary genomic instability data.
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A sparse Ising model with covariates.A Poisson Log-Normal Model for Constructing Gene Covariation Network Using RNA-seq Data.Empirical comparison study of approximate methods for structure selection in binary graphical models.Evaluation of linkage disequilibrium in wheat with an L1-regularized sparse Markov network.A new method for constructing tumor specific gene co-expression networks based on samples with tumor purity heterogeneity.
P2860
Learning oncogenic pathways from binary genomic instability data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մարտին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Learning oncogenic pathways from binary genomic instability data.
@ast
Learning oncogenic pathways from binary genomic instability data.
@en
Learning oncogenic pathways from binary genomic instability data.
@nl
type
label
Learning oncogenic pathways from binary genomic instability data.
@ast
Learning oncogenic pathways from binary genomic instability data.
@en
Learning oncogenic pathways from binary genomic instability data.
@nl
prefLabel
Learning oncogenic pathways from binary genomic instability data.
@ast
Learning oncogenic pathways from binary genomic instability data.
@en
Learning oncogenic pathways from binary genomic instability data.
@nl
P2860
P1433
P1476
Learning oncogenic pathways from binary genomic instability data.
@en
P2860
P304
P356
10.1111/J.1541-0420.2010.01417.X
P407
P577
2011-03-01T00:00:00Z