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

Authors

Ronglai Shen

Published

September 16, 2009

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Journal

Bioinformatics

Topics

Artificial Intelligence

DOI

10.1093/bioinformatics/btp543

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

Authors

Ronglai Shen

Published

September 16, 2009

Add a comment...

Supporters

Support the authors with ResearchCoin

Journal

Bioinformatics

Topics

Artificial Intelligence

DOI

10.1093/bioinformatics/btp543

Paper

Paper

Paper

Paper

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

Supporters

Journal

Topics

DOI

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

Supporters

Journal

Topics

DOI