CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer

Mark D.M. Leiserson, Hsin Ta Wu, Fabio Vandin, Benjamin J. Raphael

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
Original languageEnglish (US)
Title of host publicationResearch in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings
EditorsTeresa M. Przytycka
PublisherSpringer Verlag
Pages202-204
Number of pages3
ISBN (Electronic)9783319167053
DOIs
StatePublished - 2015
Externally publishedYes
Event19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015 - Warsaw, Poland
Duration: Apr 12 2015Apr 15 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9029
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015
CountryPoland
CityWarsaw
Period4/12/154/15/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Leiserson, M. D. M., Wu, H. T., Vandin, F., & Raphael, B. J. (2015). CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer. In T. M. Przytycka (Ed.), Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings (pp. 202-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9029). Springer Verlag. https://doi.org/10.1007/978-3-319-16706-0_19