A similarity-based method for prediction of drug side effects with heterogeneous information

DOI10.1016/J.MBS.2018.09.010zbMath1409.92127OpenAlexW2895757710WikidataQ57185228 ScholiaQ57185228MaRDI QIDQ669115

Xian Zhao, Jing Lu, Lei Chen

Publication date: 20 March 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2018.09.010

zbMATH Keywords

target proteinATC codedrug side effectdrug similarityminimum redundancy maximum relevance

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Medical applications (general) (92C50)

Related Items (3)

Identification of protein functions in mouse with a label space partition method ⋮ Editorial. The application of machine learning to disease diagnosis and treatment ⋮ Identification of drug side effects with a path-based method

Uses Software

• KEGG
• STITCH
• AFP-Pred
• RSARF
• DrugBank

Cites Work

• Support-vector networks
• Nearest neighbor pattern classification
• Random forests
• Unnamed Item
• Unnamed Item

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