21 November 2020: Database Analysis
Comprehensive Analysis of Alternative Splicing Signature in Gastric Cancer Prognosis Based on The Cancer Genome Atlas (TCGA) and SpliceSeq Databases
Xiaohu Cheng 1ACEG* , Xianghua Li 2ACE* , Yimei Gu 3AE , Lianbang Zhou 1AE , Jingjing Tang 1B , Xiang Dai 1B , Heng Jiang 1B , Yang Huang 1B , Yingfeng Zhang 1B , Tongtong Xu 1B , Zhining Liu 1AE* , Qihong Zhao 4AE*DOI: 10.12659/MSM.925772
Med Sci Monit 2020; 26:e925772
Figure 4 Identification of prognostic model based on the AS events in GC. (A) Evaluation of OS-SEs with the coefficients calculated in the LASSO regression. (B) Plots of the cross-validation error rates. The dashes signify the value of the minimal error and greater λ value. (C) Survival curve of prognostic model in patients with GC for 2 groups (high-risk group vs. low-risk group) based on median-cut of risk score calculated by evaluation of OS-SEs with the coefficients calculated in LASSO regression.