Multimodal representation learning for predicting molecule-disease relations

Predicting molecule-disease indications and side effects is important for drug development and pharmacovigilance. Comprehensively mining molecule-molecule, molecule-disease and disease-disease semantic dependencies can potentially improve prediction performance. We introduce a Multi-Modal REpresenta...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2023-02, Vol.39 (2)
Hauptverfasser:	Wen, Jun, Zhang, Xiang, Rush, Everett, Panickan, Vidul A, Li, Xingyu, Cai, Tianrun, Zhou, Doudou, Ho, Yuk-Lam, Costa, Lauren, Begoli, Edmon, Hong, Chuan, Gaziano, J Michael, Cho, Kelly, Lu, Junwei, Liao, Katherine P, Zitnik, Marinka, Cai, Tianxi
Format:	Artikel
Sprache:	eng
Schlagworte:	BASIC BIOLOGICAL SCIENCES Drug Development Drug-Related Side Effects and Adverse Reactions Electronic Health Records Humans Neural Networks, Computer Original Paper Pharmacovigilance
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