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...
Enregistré dans:
Auteurs principaux: | Xiaohua Liu, Lili Su, Jingcong Li, Guoping Ou |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Frontiers Media S.A.
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/60f26ba182e84b7fb62d9281fd1a5b04 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
par: Jun Wu, et autres
Publié: (2021) -
A Five-Gene Risk Score Model for Predicting the Prognosis of Multiple Myeloma Patients Based on Gene Expression Profiles
par: Xiaotong Chen, et autres
Publié: (2021) -
Identification of an Autophagy-Related Gene Signature for the Prediction of Prognosis in Early-Stage Colorectal Cancer
par: Xu-tao Lin, et autres
Publié: (2021) -
Germline breast cancer susceptibility genes, tumor characteristics, and survival
par: Peh Joo Ho, et autres
Publié: (2021) -
Pathway-Based Personalized Analysis of Pan-Cancer Transcriptomic Data
par: Cong Pian, et autres
Publié: (2021)