Mining TCGA Data Using Boolean Implications

Mining TCGA Data Using Boolean Implications

Boolean implications (if-then rules) provide a conceptually simple, uniform and highly scalable way to find associations between pairs of random variables. In this paper, we propose to use Boolean implications to find relationships between variables of different data types (mutation, copy number alt...

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Bibliographic Details
Main Authors: Sinha, Subarna, Tsang, Emily K., Zeng, Haoyang, Meister, Michela, Dill, David L.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Public Library of Science 2014
Online Access:http://hdl.handle.net/1721.1/89458
https://orcid.org/0000-0003-1057-2865

Internet

http://hdl.handle.net/1721.1/89458
https://orcid.org/0000-0003-1057-2865

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