Development of a Gene-Based Prediction Model for Recurrence of Colorectal Cancer Using an Ensemble Learning Algorithm

It is difficult to determine which patients with stage I and II colorectal cancer are at high risk of recurrence, qualifying them to undergo adjuvant chemotherapy. In this study, we aimed to determine a gene signature using gene expression data that could successfully identify high risk of recurrenc...

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Detalles Bibliográficos
Autores principales: Chan, Han-Ching, Chattopadhyay, Amrita, Chuang, Eric Y., Lu, Tzu-Pin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938710/
https://www.ncbi.nlm.nih.gov/pubmed/33692961
http://dx.doi.org/10.3389/fonc.2021.631056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938710/
https://www.ncbi.nlm.nih.gov/pubmed/33692961
http://dx.doi.org/10.3389/fonc.2021.631056

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