Combined gene essentiality scoring improves the prediction of cancer dependency maps

Wenyu Wang; Alina Malyutina; Alberto Pessia; Jani Saarela; Caroline A. Heckman; Jing Tang

doi:10.1016/j.ebiom.2019.10.051

Combined gene essentiality scoring improves the prediction of cancer dependency maps

Wenyu Wang, Alina Malyutina, Alberto Pessia, Jani Saarela, Caroline A. Heckman, Jing Tang

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	EBioMedicine
Volume	50
Pages (from-to)	67-80
Number of pages	14
ISSN	2352-3964
DOIs	https://doi.org/10.1016/j.ebiom.2019.10.051
Publication status	Published - Dec 2019
MoE publication type	A1 Journal article-refereed

Bibliographical note

Correction: Volume: 51
Article Number: UNSP 102594
DOI: 10.1016/j.ebiom.2019.12.003

Fields of Science

3111 Biomedicine
3122 Cancers

Access to Document

10.1016/j.ebiom.2019.10.051

1-s2.0-S2352396419307261-mainFinal published version, 3.82 MBLicence: CC BY
CorrectionFinal published version, 964 KBLicence: CC BY
1-s2.0-S2352396419307261-mainProof, 3.93 MBLicence: CC BY

Cite this

@article{422667a0f61c485fb4d220d1631ba6a8,

title = "Combined gene essentiality scoring improves the prediction of cancer dependency maps",

keywords = "3111 Biomedicine, 3122 Cancers",

author = "Wenyu Wang and Alina Malyutina and Alberto Pessia and Jani Saarela and Heckman, {Caroline A.} and Jing Tang",

note = "Correction: Volume: 51 Article Number: UNSP 102594 DOI: 10.1016/j.ebiom.2019.12.003",

year = "2019",

month = dec,

doi = "10.1016/j.ebiom.2019.10.051",

language = "English",

volume = "50",

pages = "67--80",

journal = "EBioMedicine",

issn = "2352-3964",

publisher = "Elsevier Scientific Publ. Co",

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TY - JOUR

T1 - Combined gene essentiality scoring improves the prediction of cancer dependency maps

AU - Wang, Wenyu

AU - Malyutina, Alina

AU - Pessia, Alberto

AU - Saarela, Jani

AU - Heckman, Caroline A.

AU - Tang, Jing

N1 - Correction: Volume: 51 Article Number: UNSP 102594 DOI: 10.1016/j.ebiom.2019.12.003

PY - 2019/12

Y1 - 2019/12

KW - 3111 Biomedicine

KW - 3122 Cancers

U2 - 10.1016/j.ebiom.2019.10.051

DO - 10.1016/j.ebiom.2019.10.051

M3 - Article

VL - 50

SP - 67

EP - 80

JO - EBioMedicine

JF - EBioMedicine

SN - 2352-3964

ER -