Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model

利用新型生存分析模型探索与胶质母细胞瘤患者生存时间相关的关键基因和信号转导通路

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Abstract

BACKGROUND: This study is to explore the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme (GBM) patients. RESULTS: Our results not only showed that mutually explored GBM survival time related genes and signaling transduction pathways are closely related to the GBM, but also demonstrated that our innovated constrained optimization algorithm (CoxSisLasso strategy) are better than the classical methods (CoxLasso and CoxSis strategy). CONCLUSION: We analyzed why the CoxSisLasso strategy can outperform the existing classical methods and discuss how to extend this research in the distant future.

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