MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction

Dhekra Saeed; Huanlai Xing; Barakat AlBadani; Feng Li; Raeed Al-Sabri; Monir Abdullah; Amir Rehman

doi:10.1186/s12859-024-05987-0

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MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction

Dhekra Saeed Huanlai Xing Barakat AlBadani Feng Li Raeed Al-Sabri Monir Abdullah Amir Rehman

Year: 2025 Journal: BMC Bioinformatics Vol: 26 (1)Pages: 19-19 Publisher: BioMed Central

DOI: 10.1186/s12859-024-05987-0

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Keywords:

Computer science Drug response Graph Drug Artificial intelligence Computational biology Machine learning Medicine Biology Theoretical computer science Pharmacology

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction

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