@article{5583de9b6f44423eb8a955e19e29a9f4,
title = "Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach",
keywords = "BREAST-CANCER, MYELOID-LEUKEMIA, LUNG-CANCER, LARGE-SCALE, CHEMOTHERAPY, INHIBITION, ALGORITHMS, IMPUTATION, DRAFT, 3111 Biomedicine, 1182 Biochemistry, cell and molecular biology, 1183 Plant biology, microbiology, virology",
author = "Mehreen Ali and Khan, {Suleiman A.} and Krister Wennerberg and Tero Aittokallio",
year = "2018",
month = apr,
day = "15",
doi = "10.1093/bioinformatics/btx766",
language = "English",
volume = "34",
pages = "1353--1362",
journal = "Bioinformatics",
issn = "1367-4803",
publisher = "Oxford University Press",
number = "8",
}