Predicting Duodenal Cancer Risk in Patients with Familial Adenomatous Polyposis Using Machine Learning Model

BACKGROUND/AIMS: The aim of this study was to both classify data of familial adenomatous polyposis patients with and without duodenal cancer and to identify important genes that may be related to duodenal cancer by XGboost model. MATERIALS AND METHODS: The current study was performed using expressio...

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Detalles Bibliográficos
Autores principales: Akbulut, Sami, Küçükakçalı, Zeynep, Çolak, Cemil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Society of Gastroenterology 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645292/
https://www.ncbi.nlm.nih.gov/pubmed/37565794
http://dx.doi.org/10.5152/tjg.2023.22346

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645292/
https://www.ncbi.nlm.nih.gov/pubmed/37565794
http://dx.doi.org/10.5152/tjg.2023.22346

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