GASN: gamma distribution test for driver genes identification based on similarity networks

GASN: gamma distribution test for driver genes identification based on similarity networks

Cancer is a disease with a complex genome of altered functions. However, most existing driver gene identification approaches rarely consider driver genes may have the same functional properties. To overcome this issue, we propose the gamma distribution test for the driver gene identification based o...

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Bibliographic Details
Main Authors: Dazhi Jiang, Runguo Wei, Zhihui He, Senlin Lin, Cheng Liu, Yingqing Lin
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Connection Science
Subjects:
cancer
similarity networks
function impact scores
driver genes
machine learning
Online Access:http://dx.doi.org/10.1080/09540091.2023.2167937
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http://dx.doi.org/10.1080/09540091.2023.2167937

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