基因
稳健性(进化)
计算生物学
生物
遗传学
功能分析
作者
Guojun Li,Bo Gao,Yue Zhao
出处
期刊:Current Bioinformatics
[Bentham Science]
日期:2023-12-01
卷期号:18 (10): 792-804
标识
DOI:10.2174/1574893618666230524142013
摘要
Introduction: It is expected that certain driver mutations may alter the gene expression of their associated or interacting partners, including cognate proteins. Methods: We introduced DEGdriver, a novel method that can discriminate between mutations in drivers and passengers by utilizing gene differential expression at the individual level. Results: After being tested on eleven TCGA cancer datasets, DEGdriver substantially outperformed cutting-edge approaches in distinguishing driver genes from passengers and exhibited robustness to varying parameters and protein-protein interaction networks. Conclusion: Through enrichment analysis, we prove that DEGdriver can identify functional modules or pathways in addition to novel driver genes.
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