Improving breast cancer survival analysis through competition-based multidimensional modeling.

Improving breast cancer survival analysis through competition-based multidimensional modeling.

Breast cancer is the most common malignancy in women and is responsible for hundreds of thousands of deaths annually. As with most cancers, it is a heterogeneous disease and different breast cancer subtypes are treated differently. Understanding the difference in prognosis for breast cancer based on...

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Main Authors: Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A Logsdon, Gaurav Pandey, Benjamin A Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H Mecham, Oscar M Rueda, Jorg Tost, Christina Curtis, Mariano J Alvarez, Vessela N Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H Friend, Trey Ideker, Eric E Schadt, Gustavo A Stolovitzky, Adam A Margolin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003047&type=printable
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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003047&type=printable

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