Combined gene essentiality scoring improves the prediction of cancer dependency maps

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Originalspråkengelska
TidskriftEBioMedicine
Volym50
Sidor (från-till)67-80
Antal sidor14
ISSN2352-3964
DOI
StatusPublicerad - dec 2019
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 3111 Biomedicinska vetenskaper
  • 3122 Cancersjukdomar

Citera det här

@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",
year = "2019",
month = "12",
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",

}

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

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 -