Article
PhenoDriver: interpretable framework for studying personalized phenotype-associated driver genes in breast cancer.
Briefings in bioinformatics - 20 Sept 2023
Li Yan, Zhang Shao-Wu, Xie Ming-Yu, Zhang Tong
Abstract excerpt
Identifying personalized cancer driver genes and further revealing their oncogenic mechanisms is critical for understanding the mechanisms of cell transformation and aiding clinical diagnosis. Almost all existing methods primarily focus on identifying driver genes at the cohort or individual level but fail to further uncover their underlying oncogenic mechanisms. To fill this gap, we present an interpretable...
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