Novel deep learning-based survival prediction for oral cancer by analyzing tumor-infiltrating lymphocyte profiles through CIBERSORT

The tumor microenvironment (TME) within mucosal neoplastic tissue in oral cancer (ORCA) is greatly influenced by tumor-infiltrating lymphocytes (TILs). Here, a clustering method was performed using CIBERSORT profiles of ORCA data that were filtered from the publicly accessible data of patients with...

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Detalles Bibliográficos
Autores principales: Kim, Yeongjoo, Kang, Ji Wan, Kang, Junho, Kwon, Eun Jung, Ha, Mihyang, Kim, Yoon Kyeong, Lee, Hansong, Rhee, Je-Keun, Kim, Yun Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018482/
https://www.ncbi.nlm.nih.gov/pubmed/33854823
http://dx.doi.org/10.1080/2162402X.2021.1904573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018482/
https://www.ncbi.nlm.nih.gov/pubmed/33854823
http://dx.doi.org/10.1080/2162402X.2021.1904573

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