WeiFu: A Novel Pan-Cancer Driver Gene Identification Method Using Incidence-Weighted Mutation Scores

• 主要な著者: Yanjie, Ren, Azlan, Mohd Zain, Yan, Zhang, Rozita, Abdul Jalil, Mahadi, Bahari, Norfadzlan, Bin Yusup, Mazlina, Abdul Majid, Azurah, A. Samah, Didik Dwi, Prasetya, Nurhafizah Moziyana, Mohd Yusop
• フォーマット: 論文
• 言語: English
• 出版事項: IEEE 2024
• 主題: QA Mathematics; QA75 Electronic computers. Computer science
• オンライン･アクセス: http://ir.unimas.my/id/eprint/47093/1/WeiFu_A_Novel_Pan-Cancer_Driver_Gene_Identification_Method_Using_Incidence-Weighted_Mutation_Scores.pdf; http://ir.unimas.my/id/eprint/47093/; https://ieeexplore.ieee.org/document/10807179?denied=

Genetic and genomic variations are primary drivers of tumor development. Identifying driver genes from numerous passenger genes across pan-cancer poses a significant challenge due to varying mutation loads. While independent studies have elucidated cancer-associated mutation patterns within speci...