BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions

Phuong Dao; Yoo Ah Kim; Sanna Madan; Roded Sharan; Teresa M. Przytycka

BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions

Phuong Dao, Yoo Ah Kim, Sanna Madan, Roded Sharan, Teresa M. Przytycka

School of Computer Science

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

Original language	English
Title of host publication	Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings
Editors	S.Cenk Sahinalp
Pages	370-371
Number of pages	2
State	Published - 2017
Event	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 - Hong Kong, China Duration: 3 May 2017 → 7 May 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10229 LNCS

Conference

Conference	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017
Country/Territory	China
City	Hong Kong
Period	3/05/17 → 7/05/17

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

Dao, P., Kim, Y. A., Madan, S., Sharan, R., & Przytycka, T. M. (2017). BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions. In S. C. Sahinalp (Ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings (pp. 370-371). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS).

Dao, Phuong ; Kim, Yoo Ah ; Madan, Sanna et al. / BeWith : A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions. Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. editor / S.Cenk Sahinalp. 2017. pp. 370-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{8d3e4d7027e34d12877dba8e7cec1234,

title = "BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions",

author = "Phuong Dao and Kim, {Yoo Ah} and Sanna Madan and Roded Sharan and Przytycka, {Teresa M.}",

year = "2017",

language = "الإنجليزيّة",

isbn = "9783319569697",

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

pages = "370--371",

editor = "S.Cenk Sahinalp",

booktitle = "Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings",

note = "21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 ; Conference date: 03-05-2017 Through 07-05-2017",

}

Dao, P, Kim, YA, Madan, S, Sharan, R & Przytycka, TM 2017, BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions. in SC Sahinalp (ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10229 LNCS, pp. 370-371, 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017, Hong Kong, China, 3/05/17.

BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions. / Dao, Phuong; Kim, Yoo Ah; Madan, Sanna et al.
Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. ed. / S.Cenk Sahinalp. 2017. p. 370-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS).

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

TY - GEN

T1 - BeWith

T2 - 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017

AU - Dao, Phuong

AU - Kim, Yoo Ah

AU - Madan, Sanna

AU - Sharan, Roded

AU - Przytycka, Teresa M.

PY - 2017

Y1 - 2017

UR - http://www.scopus.com/inward/record.url?scp=85018398172&partnerID=8YFLogxK

M3 - منشور من مؤتمر

SN - 9783319569697

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

SP - 370

EP - 371

BT - Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings

A2 - Sahinalp, S.Cenk

Y2 - 3 May 2017 through 7 May 2017

ER -

Dao P, Kim YA, Madan S, Sharan R, Przytycka TM. BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions. In Sahinalp SC, editor, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. 2017. p. 370-371. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BeWith: A between-within method for module discovery in cancer using integrated analysis of mutual exclusivity, co-occurrence and functional interactions

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

Other files and links

Cite this