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

doi:10.1007/978-3-319-16706-0_19

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 proceeding › Conference contribution

Original language	English (US)
Title of host publication	Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings
Editors	Teresa M. Przytycka
Publisher	Springer Verlag
Pages	202-204
Number of pages	3
ISBN (Electronic)	9783319167053
DOIs	https://doi.org/10.1007/978-3-319-16706-0_19
State	Published - 2015
Externally published	Yes
Event	19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015 - Warsaw, Poland Duration: Apr 12 2015 → Apr 15 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9029
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015
Country/Territory	Poland
City	Warsaw
Period	4/12/15 → 4/15/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-16706-0_19

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

Leiserson, Mark D.M. ; Wu, Hsin Ta ; Vandin, Fabio et al. / CoMET : A statistical approach to identify combinations of mutually exclusive alterations in cancer. Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings. editor / Teresa M. Przytycka. Springer Verlag, 2015. pp. 202-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{adcf647d4e2d4158bcd6e1d0ee069edd,

title = "CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer",

author = "Leiserson, \{Mark D.M.\} and Wu, \{Hsin Ta\} and Fabio Vandin and Raphael, \{Benjamin J.\}",

year = "2015",

doi = "10.1007/978-3-319-16706-0\_19",

language = "English (US)",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "202--204",

editor = "Przytycka, \{Teresa M.\}",

booktitle = "Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings",

address = "Germany",

note = "19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015 ; Conference date: 12-04-2015 Through 15-04-2015",

}

Leiserson, MDM, Wu, HT, Vandin, F & Raphael, BJ 2015, CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer. in TM Przytycka (ed.), Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9029, Springer Verlag, pp. 202-204, 19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015, Warsaw, Poland, 4/12/15. https://doi.org/10.1007/978-3-319-16706-0_19

CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer. / Leiserson, Mark D.M.; Wu, Hsin Ta; Vandin, Fabio et al.
Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings. ed. / Teresa M. Przytycka. Springer Verlag, 2015. p. 202-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9029).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - CoMET

T2 - 19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015

AU - Leiserson, Mark D.M.

AU - Wu, Hsin Ta

AU - Vandin, Fabio

AU - Raphael, Benjamin J.

PY - 2015

Y1 - 2015

UR - https://www.scopus.com/pages/publications/84926295032

UR - https://www.scopus.com/pages/publications/84926295032#tab=citedBy

U2 - 10.1007/978-3-319-16706-0_19

DO - 10.1007/978-3-319-16706-0_19

M3 - Conference contribution

AN - SCOPUS:84926295032

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 202

EP - 204

BT - Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings

A2 - Przytycka, Teresa M.

PB - Springer Verlag

Y2 - 12 April 2015 through 15 April 2015

ER -

Leiserson MDM, Wu HT, Vandin F, Raphael BJ. CoMET: A statistical approach to identify combinations of mutually exclusive alterations in cancer. In Przytycka TM, editor, Research in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings. Springer Verlag. 2015. p. 202-204. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-16706-0_19

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

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All Science Journal Classification (ASJC) codes

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