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.
Author Correction: Gene isoforms as expression-based biomarkers predictive of drug response in vitro.
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Statin-induced cancer cell death can be mechanistically uncoupled from prenylation of RAS family proteins.
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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