Cross-protein transfer learning substantially improves disease variant prediction

BACKGROUND: Genetic variation in the human genome is a major determinant of individual disease risk, but the vast majority of missense variants have unknown etiological effects. Here, we present a robust learning framework for leveraging saturation mutagenesis experiments to construct accurate compu...

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Detalles Bibliográficos
Autores principales: Jagota, Milind, Ye, Chengzhong, Albors, Carlos, Rastogi, Ruchir, Koehl, Antoine, Ioannidis, Nilah, Song, Yun S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408151/
https://www.ncbi.nlm.nih.gov/pubmed/37550700
http://dx.doi.org/10.1186/s13059-023-03024-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408151/
https://www.ncbi.nlm.nih.gov/pubmed/37550700
http://dx.doi.org/10.1186/s13059-023-03024-6

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