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Predicting Bcr-Abl targets using a hybrid information extraction system Awaiting Funder
Jan. 18, 2016 —
A graduate student fellowship research proposal to identify novel Bcr-Abl targets using a literature based approach employing crowdsourcing and machine learning.
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Rephetio: Repurposing drugs on a hetnet Daniel Himmelstein, Antoine Lizee, Chrissy Hessler, Leo Brueggeman, Sabrina Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, Sergio Baranzini
Report published
Welcome to project Rephetio. We aim to predict the probability that a given approved small molecule will treat a given complex disease. First, we construct a hetnet for drug repurposing. The network integrates 29 public resources and contains 47 thousand nodes (of 11 types) and 2.3 million edges ...
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