Cargando…
A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma
BACKGROUND: Ubiquitin and ubiquitin-like (UB/UBL) conjugations are essential post-translational modifications that contribute to cancer onset and advancement. In colon adenocarcinoma (COAD), nonetheless, the biological role, as well as the clinical value of ubiquitin-related genes (URGs), is unclear...
Autores principales: | Liang, Liping, Liu, Le, Mai, Shijie, Chen, Ye |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863211/ https://www.ncbi.nlm.nih.gov/pubmed/36681855 http://dx.doi.org/10.1186/s40001-023-00993-z |
Ejemplares similares
-
A novel fatty acid metabolism‐related gene signature predicts the prognosis, tumor immune properties, and immunotherapy response of colon adenocarcinoma patients
por: Liu, Le, et al.
Publicado: (2022) -
Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis
por: Luo, Jihang, et al.
Publicado: (2020) -
DNA damage repair-related gene signature predicts prognosis and indicates immune cell infiltration landscape in skin cutaneous melanoma
por: Liang, Liping, et al.
Publicado: (2022) -
Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis
por: Shu, Jianfeng, et al.
Publicado: (2023) -
Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease
por: Liu, Le, et al.
Publicado: (2023)