Multimodal representation learning for predicting molecule–disease relations

MOTIVATION: 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. METHODS: We introduce a M...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940625/
https://www.ncbi.nlm.nih.gov/pubmed/36805623
http://dx.doi.org/10.1093/bioinformatics/btad085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940625/
https://www.ncbi.nlm.nih.gov/pubmed/36805623
http://dx.doi.org/10.1093/bioinformatics/btad085

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