Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiers.
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| Title: | Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiers. |
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| Authors: | U M; Department of Computer Science, University of Georgia, Athens, Georgia, United States of America., Talevich E; Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America., Katiyar S; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, United States of America., Rasheed K; Department of Computer Science, University of Georgia, Athens, Georgia, United States of America., Kannan N; Department of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, United States of America; Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2014 Apr 17; Vol. 10 (4), pp. e1003545. Date of Electronic Publication: 2014 Apr 17 (Print Publication: 2014). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1003545 |
