A machine learning framework for predicting synergistic and antagonistic drug combinatorial efficacy

DOI10.1007/S10910-022-01331-0zbMath1492.92027OpenAlexW4214508557MaRDI QIDQ2143447

Suyu Mei

Publication date: 31 May 2022

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-022-01331-0

zbMATH Keywords

machine learningdrug-drug interactionsignaling pathwaysdrug combination

Mathematics Subject Classification ID

Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• LIBLINEAR
• DrugBank

Cites Work

• Unnamed Item
• A simple generalisation of the area under the ROC curve for multiple class classification problems

This page was built for publication: A machine learning framework for predicting synergistic and antagonistic drug combinatorial efficacy