Modulomics: Integrating multi-omics data to identify cancer driver modules

Dana Silverbush; Simona Cristea; Gali Yanovich; Tamar Geiger; Niko Beerenwinkel; Roded Sharan

Modulomics: Integrating multi-omics data to identify cancer driver modules

Dana Silverbush, Simona Cristea, Gali Yanovich, Tamar Geiger, Niko Beerenwinkel, Roded Sharan

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

Original language	English
Title of host publication	Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings
Editors	Benjamin J. Raphael
Pages	283-284
Number of pages	2
State	Published - 2018
Event	22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018 - Paris, France Duration: 21 Apr 2018 → 24 Apr 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10812 LNBI

Conference

Conference	22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018
Country/Territory	France
City	Paris
Period	21/04/18 → 24/04/18

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

Silverbush, D., Cristea, S., Yanovich, G., Geiger, T., Beerenwinkel, N., & Sharan, R. (2018). Modulomics: Integrating multi-omics data to identify cancer driver modules. In B. J. Raphael (Ed.), Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings (pp. 283-284). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10812 LNBI).

Silverbush, Dana ; Cristea, Simona ; Yanovich, Gali et al. / Modulomics : Integrating multi-omics data to identify cancer driver modules. Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. editor / Benjamin J. Raphael. 2018. pp. 283-284 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5f82f2b3a82c43188bf4e3bbaa912c60,

title = "Modulomics: Integrating multi-omics data to identify cancer driver modules",

author = "Dana Silverbush and Simona Cristea and Gali Yanovich and Tamar Geiger and Niko Beerenwinkel and Roded Sharan",

year = "2018",

language = "الإنجليزيّة",

isbn = "9783319899282",

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

pages = "283--284",

editor = "Raphael, {Benjamin J.}",

booktitle = "Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings",

note = "22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018 ; Conference date: 21-04-2018 Through 24-04-2018",

}

Silverbush, D, Cristea, S, Yanovich, G, Geiger, T, Beerenwinkel, N & Sharan, R 2018, Modulomics: Integrating multi-omics data to identify cancer driver modules. in BJ Raphael (ed.), Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10812 LNBI, pp. 283-284, 22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018, Paris, France, 21/04/18.

Modulomics: Integrating multi-omics data to identify cancer driver modules. / Silverbush, Dana; Cristea, Simona; Yanovich, Gali et al.
Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. ed. / Benjamin J. Raphael. 2018. p. 283-284 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10812 LNBI).

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

TY - GEN

T1 - Modulomics

T2 - 22nd International Conference on Research in Computational Molecular Biology, RECOMB 2018

AU - Silverbush, Dana

AU - Cristea, Simona

AU - Yanovich, Gali

AU - Geiger, Tamar

AU - Beerenwinkel, Niko

AU - Sharan, Roded

PY - 2018

Y1 - 2018

UR - http://www.scopus.com/inward/record.url?scp=85046116431&partnerID=8YFLogxK

M3 - منشور من مؤتمر

SN - 9783319899282

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

SP - 283

EP - 284

BT - Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings

A2 - Raphael, Benjamin J.

Y2 - 21 April 2018 through 24 April 2018

ER -

Silverbush D, Cristea S, Yanovich G, Geiger T, Beerenwinkel N, Sharan R. Modulomics: Integrating multi-omics data to identify cancer driver modules. In Raphael BJ, editor, Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. 2018. p. 283-284. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Modulomics: Integrating multi-omics data to identify cancer driver modules

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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Cite this