A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression data
about
Discovering subgroups of patients from DNA copy number data using NMF on compacted matrices.MMAD: microarray microdissection with analysis of differences is a computational tool for deconvoluting cell type-specific contributions from tissue samples.Discriminant projective non-negative matrix factorizationSemi-Supervised Projective Non-Negative Matrix Factorization for Cancer Classification
P2860
A framework for regularized non-negative matrix factorization, with application to the analysis of gene expression data
description
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@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年論文
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2012年论文
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name
A framework for regularized no ...... alysis of gene expression data
@ast
A framework for regularized no ...... alysis of gene expression data
@en
A framework for regularized no ...... alysis of gene expression data
@nl
type
label
A framework for regularized no ...... alysis of gene expression data
@ast
A framework for regularized no ...... alysis of gene expression data
@en
A framework for regularized no ...... alysis of gene expression data
@nl
prefLabel
A framework for regularized no ...... alysis of gene expression data
@ast
A framework for regularized no ...... alysis of gene expression data
@en
A framework for regularized no ...... alysis of gene expression data
@nl
P2860
P1433
P1476
A framework for regularized no ...... alysis of gene expression data
@en
P2093
Björn Nilsson
Leo Taslaman
P2860
P304
P356
10.1371/JOURNAL.PONE.0046331
P407
P577
2012-01-01T00:00:00Z