In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data

Remzi Celebi^*, Oliver Bear Don't Walk, Rajiv Movva, Semih Alpsoy, Michel Dumontier

^*Corresponding author for this work

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

Keywords

@article{002a6b60c2e04bebb5b94cf4f93436d0,

title = "In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data",

keywords = "CANCER, DISCOVERY, KINASES, LANDSCAPE, THERAPY",

author = "Remzi Celebi and Walk, {Oliver Bear Don't} and Rajiv Movva and Semih Alpsoy and Michel Dumontier",

year = "2019",

month = jun,

day = "20",

doi = "10.1038/s41598-019-45236-6",

language = "English",

volume = "9",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data

AU - Celebi, Remzi

AU - Walk, Oliver Bear Don't

AU - Movva, Rajiv

AU - Alpsoy, Semih

AU - Dumontier, Michel

PY - 2019/6/20

Y1 - 2019/6/20

KW - CANCER

KW - DISCOVERY

KW - KINASES

KW - LANDSCAPE

KW - THERAPY

U2 - 10.1038/s41598-019-45236-6

DO - 10.1038/s41598-019-45236-6

M3 - Article

C2 - 31222109

VL - 9

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 8949

ER -