The research performed in the Haibe-Kains Laboratory focuses on the integration of high-throughput data from various sources to simultaneously analyze multiple facets of diseases, with a particular emphasis on cancer. Dr. Haibe-Kains and his team are using publicly available genomic datasets and data generated through his collaboration to better understand the biology underlying diseases and to develop new predictive models in order to significantly improve disease management. Dr. Haibe-Kains's main contributions include several prognostic gene signatures in breast cancer, subtype classification models for ovarian and breast cancers, as well as genomic predictors of drug response in cancer cell lines.
Cancer Res. 2017 Mar 17;:
Brief Bioinform. 2017 Jan 09;:
Nature. 2016 Nov 30;540(7631):E2-E4
Nature. 2016 Nov 30;540(7631):E11-E12
Nature. 2016 Nov 30;540(7631):E6-E8
Brief Bioinform. 2016 Nov 22;:
J Pathol. 2016 Nov 14;:
Older adults with heart failure treated with carvedilol, bisoprolol, or metoprolol tartrate: risk of mortality.
Pharmacoepidemiol Drug Saf. 2016 Nov 16;:
Genome Biol. 2016 Sep 30;17(1):202
Scientist, Princess Margaret Cancer Centre
Assistant Professor, Department of Medical Biophysics, University of Toronto
Adjunct Assistant Professor, Department of Computer Science, University of Toronto
Ontario Institute for Cancer Research (OICR) Associate