Developing the novel bioinformatics algorithms to systematically investigate the connections among survival time, key genes and proteins for Glioblastoma multiforme

Developing the novel bioinformatics algorithms to systematically investigate the connections among survival time, key genes and proteins for Glioblastoma multiforme

Abstract Background Glioblastoma multiforme (GBM) is one of the most common malignant brain tumors and its average survival time is less than 1 year after diagnosis. Results Firstly, this study aims to develop the novel survival analysis algorithms to explore the key genes and proteins related to GB...

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Bibliographic Details
Main Authors: Yujie You, Xufang Ru, Wanjing Lei, Tingting Li, Ming Xiao, Huiru Zheng, Yujie Chen, Le Zhang
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Bioinformatics
Subjects:
Glioblastoma multiforme (GBM)
Survival analysis
Adipocyte enhancer-binding protein 1 (AEBP1)
Data mining
mTOR pathway
Online Access:http://link.springer.com/article/10.1186/s12859-020-03674-4

Internet

http://link.springer.com/article/10.1186/s12859-020-03674-4

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