Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks.

CONCLUSION: Machine learning combined with PPI networks, GO and KEGG analyses of selected DEGs improve our understanding of the biological functions involved in glioma growth.
PMID: 31150762 [PubMed - as supplied by publisher]

Source: Genomics - May 27, 2019 Category: Genetics & Stem Cells Authors: Niu B, Liang C, Lu Y, Zhao M, Chen Q, Zhang Y, Zheng L, Chou KC Tags: Genomics Source Type: research