Cargando…
Identification of a Sixteen-gene Prognostic Biomarker for Lung Adenocarcinoma Using a Machine Learning Method
Objectives: Lung adenocarcinoma (LUAD) accounts for a majority of cancer-related deaths worldwide annually. The identification of prognostic biomarkers and prediction of prognosis for LUAD patients is necessary. Materials and Methods: In this study, LUAD RNA-Seq data and clinical data from the Cance...
Autores principales: | Ma, Baoshan, Geng, Yao, Meng, Fanyu, Yan, Ge, Song, Fengju |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959071/ https://www.ncbi.nlm.nih.gov/pubmed/31956375 http://dx.doi.org/10.7150/jca.34585 |
Ejemplares similares
-
Identification of a sixteen-microRNA signature as prognostic biomarker for stage II and III colon cancer
por: Jacob, Havjin, et al.
Publicado: (2017) -
Identification of TLRs as potential prognostic biomarkers for lung adenocarcinoma
por: Ying, Junjie, et al.
Publicado: (2023) -
Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods
por: Cai, Qidong, et al.
Publicado: (2020) -
Eight to Sixteen
Publicado: (1868) -
Eight to Sixteen
Publicado: (1860)