DriverFinder: a gene length-based network method to identify cancer driver genes

DOI10.1155/2017/4826206zbMath1373.92071OpenAlexW2743167137MaRDI QIDQ1674954

Junfeng Xia, Chun-Hou Zheng, Pi-Jing Wei, Hai-Tao Li, Dianzhou Zhang

Publication date: 26 October 2017

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/4826206

zbMATH Keywords

cancer driver genesCancer Genome Atlasgene length-based network

Mathematics Subject Classification ID

Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (1)

DriverFinder

Uses Software

• KEGG
• DEOD
• DriverNet
• MUFFINN
• Dendrix

Cites Work

• Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
• Incremental learning for \(\nu\)-support vector regression

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