Cargando…
Regularized survival learning and cross-database analysis enabled identification of colorectal cancer prognosis-related immune genes
Colon adenocarcinoma is the most common type of colorectal cancer. The prognosis of advanced colorectal cancer patients who received treatment is still very poor. Therefore, identifying new biomarkers for prognosis prediction has important significance for improving treatment strategies. However, th...
Autores principales: | Ai, Dongmei, Wang, Mingmei, Zhang, Qingchuan, Cheng, Longwei, Wang, Yishu, Liu, Xiuqin, Xia, Li C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995717/ https://www.ncbi.nlm.nih.gov/pubmed/36911403 http://dx.doi.org/10.3389/fgene.2023.1148470 |
Ejemplares similares
-
Joint Analysis of Microbial and Immune Cell Abundance in Liver Cancer Tissue Using a Gene Expression Profile Deconvolution Algorithm Combined With Foreign Read Remapping
por: Ai, Dongmei, et al.
Publicado: (2022) -
Identification of Potential Diagnostic and Prognostic Biomarkers for Colorectal Cancer Based on GEO and TCGA Databases
por: Wang, Zhenjiang, et al.
Publicado: (2021) -
Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer
por: Duan, Ling, et al.
Publicado: (2022) -
Identification of an Immune-Related Gene Signature to Improve Prognosis Prediction in Colorectal Cancer Patients
por: Dai, Siqi, et al.
Publicado: (2020) -
Identification of an Autophagy-Related Gene Signature for the Prediction of Prognosis in Early-Stage Colorectal Cancer
por: Lin, Xu-tao, et al.
Publicado: (2021)