Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties - Michael P. Menden; Francesco Iorio; Mathew Garnett; Ultan McDermott; Cyril Benes; Pedro J. Ballester; Julio Saez-Rodriguez (CoRR, 2012)

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. - Wanjuan Yang; Jorge Soares 002; Patricia Greninger; Elena J. Edelman; Howard Lightfoot; Simon A. Forbes; Nidhi Bindal; David Beare; James A. Smith; I. Richard Thompson; Sridhar Ramaswamy; P. Andrew Futreal; et al. (Nucleic Acids Res., 2013)

Fast randomization of large genomic datasets while preserving alteration counts. - Andrea Gobbi; Francesco Iorio; Kevin J. Dawson; David C. Wedge; David Tamborero; Ludmil B. Alexandrov; Núria López-Bigas; Mathew Garnett; Giuseppe Jurman; Julio Saez-Rodriguez (Bioinform., 2014)

GDSCTools for mining pharmacogenomic interactions in cancer. - Thomas Cokelaer; Elisabeth Chen; Francesco Iorio; Michael P. Menden; Howard Lightfoot; Julio Saez-Rodriguez; Mathew Garnett (Bioinform., 2018)

Cell Model Passports - a hub for clinical, genetic and functional datasets of preclinical cancer models. - Dieudonne van der Meer; Syd Barthorpe; Wanjuan Yang; Howard Lightfoot; Caitlin Hall; James P. Gilbert; Hayley E. Francies; Mathew Garnett (Nucleic Acids Res., 2019)

Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets. - Lisa Dwane; Fiona M. Behan; Emanuel J. V. Gonçalves; Howard Lightfoot; Wanjuan Yang; Dieudonne van der Meer; Rebecca Shepherd; Miguel Pignatelli; Francesco Iorio; Mathew Garnett (Nucleic Acids Res., 2021)