Your browser doesn't support javascript.
loading
Harnessing large language models (LLMs) for candidate gene prioritization and selection.
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.
Affiliation
  • Toufiq M; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Rinchai D; The Rockefeller University, New York, NY, USA.
  • Bettacchioli E; INSERM UMR1227, Lymphocytes B et Autoimmunité, Université de Bretagne Occidentale, Brest, France.
  • Kabeer BSA; Service de Rhumatologie, CHU de Brest, Brest, France.
  • Khan T; Sidra Medicine, Doha, Qatar.
  • Subba B; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • White O; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Yurieva M; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • George J; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Jourde-Chiche N; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Chiche L; Service de Néphrologie, Hôpital de La Conception, Marseille, France.
  • Palucka K; Service de Médecine Interne, Hôpital Européen, Marseille, France.
  • Chaussabel D; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
J Transl Med ; 21(1): 728, 2023 10 16.
Article in En | MEDLINE | ID: mdl-37845713
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Mining / Clinical Relevance Limits: Humans Language: En Journal: J Transl Med Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Mining / Clinical Relevance Limits: Humans Language: En Journal: J Transl Med Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom