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Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
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Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

Shen, Ronglai ; Olshen, Adam B. ; Ladanyi, Marc

Bioinformatics, 2009-11, Vol.25 (22), p.2906-2912 [Periódico revisado por pares]

Oxford: Oxford University Press

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Eigengene-based linear discriminant model for tumor classification using gene expression microarray data
Eigengene-based linear discriminant model for tumor classification using gene expression microarray data
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Eigengene-based linear discriminant model for tumor classification using gene expression microarray data

Shen, Ronglai ; Ghosh, Debashis ; Chinnaiyan, Arul ; Meng, Zhaoling

Bioinformatics, 2006-11, Vol.22 (21), p.2635-2642 [Periódico revisado por pares]

Oxford: Oxford University Press

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3
Using association signal annotations to boost similarity network fusion
Using association signal annotations to boost similarity network fusion
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Using association signal annotations to boost similarity network fusion

Ruan, Peifeng ; Wang, Ya ; Shen, Ronglai ; Wang, Shuang Hancock, John

Bioinformatics, 2019-10, Vol.35 (19), p.3718-3726 [Periódico revisado por pares]

England: Oxford University Press

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4
Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model
Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model
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Reconstructing tumor-wise protein expression in tissue microarray studies using a Bayesian cell mixture model

Shen, Ronglai ; Taylor, Jeremy M. G. ; Ghosh, Debashis

Bioinformatics, 2008-12, Vol.24 (24), p.2880-2886 [Periódico revisado por pares]

Oxford: Oxford University Press

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5
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
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Artigo 		Adicionar ao Meu Espaço

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

Shen, Ronglai ; Olshen, Adam B. ; Ladanyi, Marc

Bioinformatics, 2010-01, Vol.26 (2), p.292-293 [Periódico revisado por pares]

Oxford: Oxford University Press

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