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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2014
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| Online Access: | http://hdl.handle.net/1721.1/89458 https://orcid.org/0000-0003-1057-2865 |