Harnessing large language models (LLMs) for candidate gene prioritization and selection

BACKGROUND: Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights. While data-driven methods are commonly utilized for selecting candidate genes, knowledge-driven methods must contend with the challenge of effici...

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Detalles Bibliográficos
Autores principales: Toufiq, Mohammed, Rinchai, Darawan, Bettacchioli, Eleonore, Kabeer, Basirudeen Syed Ahamed, Khan, Taushif, Subba, Bishesh, White, Olivia, Yurieva, Marina, George, Joshy, Jourde-Chiche, Noemie, Chiche, Laurent, Palucka, Karolina, Chaussabel, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580627/
https://www.ncbi.nlm.nih.gov/pubmed/37845713
http://dx.doi.org/10.1186/s12967-023-04576-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580627/
https://www.ncbi.nlm.nih.gov/pubmed/37845713
http://dx.doi.org/10.1186/s12967-023-04576-8

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