Modified linear regression predicts drug-target interactions accurately.
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ABSTRACT:
SUBMITTER: Buza K
PROVIDER: S-EPMC7135267 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Modified linear regression predicts drug-target interactions accurately.
Buza Krisztian K Peška Ladislav L Koller Júlia J
PloS one 20200406 4
State-of-the-art approaches for the prediction of drug-target interactions (DTI) are based on various techniques, such as matrix factorisation, restricted Boltzmann machines, network-based inference and bipartite local models (BLM). In this paper, we propose the framework of Asymmetric Loss Models (ALM) which is more consistent with the underlying chemical reality compared with conventional regression techniques. Furthermore, we propose to use an asymmetric loss model with BLM to predict drug-ta ...[more]
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