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Additional file 1: of Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information

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posted on 2019-02-27, 05:00 authored by Zaixiang Tang, Shufeng Lei, Xinyan Zhang, Zixuan Yi, Boyi Guo, Jake Chen, Yueping Shen, Nengjun Yi
Figure S1. The parameter estimation averaged over 100 replicates for the group spike-and-slab lasso Cox (gsslasso), the lasso, grlasso, grMCP, grSCAD, and cMCP methods for Scenario 2. Blue cycles denote the simulated non-zero values. Black points and lines represent the estimated values and the interval estimates of coefficients. (PDF 523 kb)

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National Natural Science Foundation of China

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