Molecular Subclassification Based on Crosstalk Analysis Improves Prediction of Prognosis in Colorectal Cancer
The poor performance of single-gene lists for prognostic predictions in independent cohorts has limited their clinical use. Here, we employed a pathway-based approach using embedded biological features to identify reproducible prognostic markers as an alternative. We used pathway activity score, sur...
Guardado en:
Autores principales: | Xiaohua Liu, Lili Su, Jingcong Li, Guoping Ou |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/60f26ba182e84b7fb62d9281fd1a5b04 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
por: Jun Wu, et al.
Publicado: (2021) -
A Five-Gene Risk Score Model for Predicting the Prognosis of Multiple Myeloma Patients Based on Gene Expression Profiles
por: Xiaotong Chen, et al.
Publicado: (2021) -
Identification of an Autophagy-Related Gene Signature for the Prediction of Prognosis in Early-Stage Colorectal Cancer
por: Xu-tao Lin, et al.
Publicado: (2021) -
Germline breast cancer susceptibility genes, tumor characteristics, and survival
por: Peh Joo Ho, et al.
Publicado: (2021) -
Pathway-Based Personalized Analysis of Pan-Cancer Transcriptomic Data
por: Cong Pian, et al.
Publicado: (2021)