Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Immune Infiltration Analysis with the CIBERSORT Method in Lung Cancer
por: Guan, Meng, et al.
Publicado: (2022) -
Identification of Shared Genes and Pathways in Periodontitis and Type 2 Diabetes by Bioinformatics Analysis
por: Kang, Junho, et al.
Publicado: (2022) -
Regulatory T cell and activated natural killer cell infiltration in hepatocellular carcinoma: immune cell profiling using the CIBERSORT
por: Wang, Lixin, et al.
Publicado: (2020) -
SOCS3 is Related to Cell Proliferation in Neuronal Tissue: An Integrated Analysis of Bioinformatics and Experiments
por: Yu, Yeuni, et al.
Publicado: (2021) -
Identification of uterine leiomyosarcoma-associated hub genes and immune cell infiltration pattern using weighted co-expression network analysis and CIBERSORT algorithm
por: Shen, Xiaoqing, et al.
Publicado: (2021)