Genome-Wide survival analysis of somatic mutations in cancer

Fabio Vandin, Alexandra Papoutsaki, Benjamin J Raphael, Eli Upfal

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingBidrag til bog/antologiForskningpeer review

OriginalsprogEngelsk
TitelProceedings of the 17th international conference on Research in Computational Molecular Biology
Antal sider2
Publikationsdato2013
Sider285-286
StatusUdgivet - 2013
Udgivet eksterntJa

Citer dette

Vandin, F., Papoutsaki, A., Raphael, B. J., & Upfal, E. (2013). Genome-Wide survival analysis of somatic mutations in cancer. I Proceedings of the 17th international conference on Research in Computational Molecular Biology (s. 285-286)
Vandin, Fabio ; Papoutsaki, Alexandra ; Raphael, Benjamin J ; Upfal, Eli. / Genome-Wide survival analysis of somatic mutations in cancer. Proceedings of the 17th international conference on Research in Computational Molecular Biology. 2013. s. 285-286
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Vandin, F, Papoutsaki, A, Raphael, BJ & Upfal, E 2013, Genome-Wide survival analysis of somatic mutations in cancer. i Proceedings of the 17th international conference on Research in Computational Molecular Biology. s. 285-286.

Genome-Wide survival analysis of somatic mutations in cancer. / Vandin, Fabio; Papoutsaki, Alexandra; Raphael, Benjamin J; Upfal, Eli.

Proceedings of the 17th international conference on Research in Computational Molecular Biology. 2013. s. 285-286.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingBidrag til bog/antologiForskningpeer review

TY - CHAP

T1 - Genome-Wide survival analysis of somatic mutations in cancer

AU - Vandin, Fabio

AU - Papoutsaki, Alexandra

AU - Raphael, Benjamin J

AU - Upfal, Eli

PY - 2013

Y1 - 2013

M3 - Book chapter

SP - 285

EP - 286

BT - Proceedings of the 17th international conference on Research in Computational Molecular Biology

ER -

Vandin F, Papoutsaki A, Raphael BJ, Upfal E. Genome-Wide survival analysis of somatic mutations in cancer. I Proceedings of the 17th international conference on Research in Computational Molecular Biology. 2013. s. 285-286