Decoding the cancer epigenome with novel AI discovery tools

Principal Investigator: Jacques Drouin, Marc G. Bellemare
Theme : Artificial Intelligence (AI) / Health
Competition : Omics Data Against Cancer (ODAC) Competition
Status : In progress
Start : Oct. 1, 2020
End: Sept. 30, 2022
Budget : $300,000.00



The epigenome is the molecular wrapping of a cell’s genome and reflects the cell’s function. It is a complex assembly of different protein markers that altogether give unique signatures to different cell types. As a result, studying the epigenome provides a way to distinguish cancer cells from normal cells and could be a very effective way of providing personalized assessment of individual cancers. The signatures of the epigenome, however, are quite complex and only summarily understood at this time. This project aims to develop artificial intelligence (AI) approaches that rely on state-of-the-art artificial intelligence methods to cogently interpret the epigenomic landscape and translate this into a precise tool for cancer management.

The research will be led by Jacques Drouin, a molecular biologist and geneticist with a long track record of contributions on gene regulation, genomics, epigenomics and cancer biology, in collaboration with Marc G. Bellemare, an internationally recognized pioneer in AI and deep learning methods.


Lead Genome Centre: Génome Québec 

Partners: IVADO, Oncopole