Open AccessBioinformatics analysis of potential core genes for glioblastoma
Author(s) -
Yu Zhang,
Xin Yang,
Xiaolin Zhu,
Jiaqi Hao,
Hao Bai,
Youchao Xiao,
Zhuang-Zhuang Wang,
Chunyan Hao,
Hubin Duan
Publication year - 2020
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20201625
Subject(s) - glioblastoma , gene , kegg , microarray , gene ontology , biology , microarray analysis techniques , computational biology , survival analysis , malignancy , pathway analysis , bioinformatics , gene expression , genetics , medicine , cancer research
Glioblastoma (GBM) has a high degree of malignancy, aggressiveness and recurrence rate. However, there are limited options available for the treatment of GBM, and they often result in poor prognosis and unsatisfactory outcomes.
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