CSI: Contrastive data Stratification for Interaction prediction and its application to compound–protein interaction prediction

MOTIVATION: Accurately predicting the likelihood of interaction between two objects (compound–protein sequence, user–item, author–paper, etc.) is a fundamental problem in Computer Science. Current deep-learning models rely on learning accurate representations of the interacting objects. Importantly,...

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Detalles Bibliográficos
Autores principales: Kalia, Apurva, Krishnan, Dilip, Hassoun, Soha
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/PMC10423023/
https://www.ncbi.nlm.nih.gov/pubmed/37490457
http://dx.doi.org/10.1093/bioinformatics/btad456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423023/
https://www.ncbi.nlm.nih.gov/pubmed/37490457
http://dx.doi.org/10.1093/bioinformatics/btad456

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