Article

Revealing new therapeutic opportunities through drug target prediction via class imbalance-tolerant machine learning

2019-03-09

Abstract excerpt

In silico drug target prediction provides valuable information for drug repurposing, understanding of side effects as well as expansion of the druggable genome. In particular, discovery of actionable drug targets is critical to developing targeted therapies for diseases. Here, we develop a robust method for drug target prediction by leveraging a class imbalance-tolerant machine learning framework with a novel trai...

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Literature Corpus work: ac8c7dee-fb65-55da-86d9-dfe6e846b37c
DOI: 10.1101/572420

Open publication

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