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1

Identifying Driver Genes in Cancer by Triangulating Gene Expression, Gene Location, and Survival Data

Identifying Driver Genes in Cancer by Triangulating Gene Expression, Gene Location, and Survival Data

Por Sigrid Rouam, Lance D. Miller, R. Krishna Murthy Karuturi
Publicado em 2015-02-01

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2

Identifying Driver Genes in Cancer by Triangulating Gene Expression, Gene Location, and Survival Data

Identifying Driver Genes in Cancer by Triangulating Gene Expression, Gene Location, and Survival Data

Por Sigrid Rouam, Lance D. Miller, R. Krishna Murthy Karuturi
Publicado em 2014-01-01

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3

multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

Por Nathan Lawlor, Alec Fabbri, Peiyong Guan, Joshy George, R. Krishna Murthy Karuturi
Publicado em 2016-06-01

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4

Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

Zebrafish whole-adult-organism chemogenomics for large-scale predictive and discovery chemical biology.

Por Siew Hong Lam, Sinnakarupan Mathavan, Yan Tong, Haixia Li, R Krishna Murthy Karuturi, Yilian Wu, Vinsensius B Vega, Edison T Liu, Zhiyuan Gong
Publicado em 2008-07-01

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