| Originalspråk | engelska |
|---|---|
| Tidskrift | EBioMedicine |
| Volym | 50 |
| Sidor (från-till) | 67-80 |
| Antal sidor | 14 |
| ISSN | 2352-3964 |
| DOI | |
| Status | Publicerad - dec 2019 |
| MoE-publikationstyp | A1 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",
}
Combined gene essentiality scoring improves the prediction of cancer dependency maps. / Wang, Wenyu; Malyutina, Alina; Pessia, Alberto; Saarela, Jani; Heckman, Caroline A.; Tang, Jing.
I: EBioMedicine, Vol. 50, 12.2019, s. 67-80.Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
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 -