Antoine de Weck
Antoine de Weck
Novartis Institute for BioMedical Research
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Cited by
Cited by
Next-generation characterization of the cancer cell line encyclopedia
M Ghandi, FW Huang, J Jané-Valbuena, GV Kryukov, CC Lo, ...
Nature 569 (7757), 503-508, 2019
Project DRIVE: a compendium of cancer dependencies and synthetic lethal relationships uncovered by large-scale, deep RNAi screening
ER McDonald III, A De Weck, MR Schlabach, E Billy, KJ Mavrakis, ...
Cell 170 (3), 577-592. e10, 2017
CRISPR screens provide a comprehensive assessment of cancer vulnerabilities but generate false-positive hits for highly amplified genomic regions
DM Munoz, PJ Cassiani, L Li, E Billy, JM Korn, MD Jones, J Golji, ...
Cancer discovery 6 (8), 900-913, 2016
Disordered methionine metabolism in MTAP/CDKN2A-deleted cancers leads to dependence on PRMT5
KJ Mavrakis, ER McDonald, MR Schlabach, E Billy, GR Hoffman, ...
Science 351 (6278), 1208-1213, 2016
Resistance mechanisms to TP53-MDM2 inhibition identified by in vivo piggyBac transposon mutagenesis screen in an Arf−/− mouse model
EA Chapeau, A Gembarska, EY Durand, E Mandon, C Estadieu, ...
Proceedings of the National Academy of Sciences 114 (12), 3151-3156, 2017
TRPS1 is a lineage-specific transcriptional dependency in breast cancer
RM Witwicki, MB Ekram, X Qiu, M Janiszewska, S Shu, M Kwon, A Trinh, ...
Cell reports 25 (5), 1255-1267. e5, 2018
Analysis of head and neck carcinoma progression reveals novel and relevant stage-specific changes associated with immortalisation and malignancy
R Veeramachaneni, T Walker, T Revil, A De Weck, D Badescu, ...
Scientific reports 9 (1), 1-17, 2019
Correction of copy number induced false positives in CRISPR screens
A De Weck, J Golji, MD Jones, JM Korn, E Billy, ER McDonald III, ...
PLoS computational biology 14 (7), e1006279, 2018
Fibroblasts cell lines misclassified as cancer cell lines
A De Weck, H Bitter, A Kauffmann
BioRxiv, 166199, 2017
DOT1L inhibition is lethal for multiple myeloma due to perturbation of the endoplasmic reticulum stress pathway
C Dafflon, LB Swann Gaulis, K Kapur, V Cornacchione, L Schukur, ...
Oncotarget 11 (11), 956, 2020
Fully unsupervised deep mode of action learning for phenotyping high-content cellular images
R Janssens, X Zhang, A Kauffmann, A de Weck, EY Durand
bioRxiv, 2020
Systematic Identification of Novel Cancer Genes through Analysis of Deep shRNA Perturbation Screens
H Montazeri, M Coto-Llerena, G Bianco, E Zangene, S Taha-Mehlitz, ...
bioRxiv, 807248, 2019
APSiC: Analysis of Perturbation Screens for the Identification of Novel Cancer Genes
H Montazeri, M Coto-Llerena, G Bianco, E Zangeneh, S Taha-Mehlitz, ...
bioRxiv, 807248, 2019
Abstract B1-56: Distinct roles of copy number and loss-of-heterozygosity in predicting prognosis for breast cancer patients
RGPM van Stiphout, A deWeck, L Winchester, SA Haider, J Ragoussis, ...
Cancer Research 75 (22 Supplement 2), B1-56-B1-56, 2015
Copy number aberration detected in head and neck carcinomas using OncoSNP and influence on gene expression
A de Weck, F Buffa, R Veeramachaneni, N Thakker, J Ragoussis
Cancer Research 71 (8 Supplement), 38-38, 2011
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