Original paper
A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients
Abstract
This study aimed to screen prognostic gene signature of glioblastoma (GBM) to construct prognostic model.Based on the GBM information in the Cancer Genome Atlas (TCGA, training set), prognostic genes (Set X) were screened by Cox regression. Then, the optimized prognostic gene signature (Set Y) was further screened by the Cox-Proportional Hazards (Cox-PH). Next, two prognostic models were constructed: model A was based on the Set Y; model B was...
Paper Details
Title
A Potential Prognostic Gene Signature for Predicting Survival for Glioblastoma Patients
Published Date
Mar 26, 2019
Volume
2019
Pages
1 - 9
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Notes
History