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Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering
Arshi Arora, Adam B. Olshen, Venkatraman E. Seshan, Ronglai Shen
doi: https://doi.org/10.1101/2020.05.11.084798
Arshi Arora
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
Adam B. Olshen
2Department of Epidemiology and Biostatistics, University of California at San Francisco, CA
3Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, CA
Venkatraman E. Seshan
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
Ronglai Shen
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
Posted May 12, 2020.
Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering
Arshi Arora, Adam B. Olshen, Venkatraman E. Seshan, Ronglai Shen
bioRxiv 2020.05.11.084798; doi: https://doi.org/10.1101/2020.05.11.084798
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