Combined gene essentiality scoring improves the prediction of cancer dependency maps

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Wang , W , Malyutina , A , Pessia , A , Saarela , J , Heckman , C A & Tang , J 2019 , ' Combined gene essentiality scoring improves the prediction of cancer dependency maps ' , EBioMedicine , vol. 50 , pp. 67-80 . https://doi.org/10.1016/j.ebiom.2019.10.051

Title: Combined gene essentiality scoring improves the prediction of cancer dependency maps
Author: Wang, Wenyu; Malyutina, Alina; Pessia, Alberto; Saarela, Jani; Heckman, Caroline A.; Tang, Jing
Contributor organization: Research Program in Systems Oncology
Research Programs Unit
Faculty of Medicine
University of Helsinki
Institute for Molecular Medicine Finland
Date: 2019-12
Language: eng
Number of pages: 14
Belongs to series: EBioMedicine
ISSN: 2352-3964
DOI: https://doi.org/10.1016/j.ebiom.2019.10.051
URI: http://hdl.handle.net/10138/309536
Description: Correction: Volume: 51 Article Number: UNSP 102594 DOI: 10.1016/j.ebiom.2019.12.003
Subject: 3111 Biomedicine
3122 Cancers
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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