CFSBoost: cumulative feature subspace boosting for drug-target interaction prediction

DOI10.1016/J.JTBI.2018.12.024zbMath1460.92080OpenAlexW2906507107WikidataQ90714463 ScholiaQ90714463MaRDI QIDQ1717082

Abdollah Dehzangi, Dewan Md Farid, Sajid Ahmed, Farshid Rayhan, Swakkhar Shatabda

Publication date: 6 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.12.024

zbMATH Keywords

classificationboostingensemble classifierclass imbalancefeature groupingdrug-target

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Uses Software

• Scikit
• AutoDock
• KEGG
• DrugE-Rank
• iPHLoc-ES
• LMNN
• iCDI-PseFpt

Cites Work

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• iPHLoc-ES: identification of bacteriophage protein locations using evolutionary and structural features
• iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints
• Extremely randomized trees

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