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TP53_PROF: a machine learning model to predict impact of missense mutations in TP53.
Ben-Cohen, Gil; Doffe, Flora; Devir, Michal; Leroy, Bernard; Soussi, Thierry; Rosenberg, Shai.
  • Ben-Cohen G; Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel.
  • Doffe F; The Wohl Institute for Translational Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel.
  • Devir M; INSERM UMR 1186, Integrative Tumor Immunology and Immunotherapy, Gustave Roussy, Faculté de Médecine, Université Paris-Sud, Université Paris-Saclay, 94805 Villejuif, France.
  • Leroy B; Gaffin Center for Neuro-Oncology, Sharett Institute for Oncology, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel.
  • Soussi T; The Wohl Institute for Translational Medicine, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Israel.
  • Rosenberg S; Sorbonne Université, UPMC Univ Paris 06, F- 75005 Paris, France.
Brief Bioinform ; 23(2)2022 03 10.
Article en En | MEDLINE | ID: mdl-35043155
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome de Li-Fraumeni / Mutación Missense Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndrome de Li-Fraumeni / Mutación Missense Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article