DNN-DTIs: Improved Drug-Target Interactions Prediction Using XGBoost Feature Selection and Deep Neural Network

    August 2020 in “ bioRxiv (Cold Spring Harbor Laboratory) ”
    Cheng Chen, Shi Han, Han Yu … Bin Yu

    Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

    Studysummary This study found that the DNN-DTIs prediction model achieved high accuracy in predicting drug-target interactions, suggesting its potential application in drug repositioning and the discovery of new uses for existing drugs.
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    1. Comparison of the Efficacy and Safety of Topical Minoxidil and Topical Alfatradiol in the Treatment of Androgenetic Alopecia in Women Journal der Deutschen Dermatologischen Gesellschaft · 2007