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
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 specific cancer types, a systematic approach to integrating these mutation data for assessing the impact of gene mutations has been lacking. This study addresses this gap by integrating pan-cancer genomic somatic mutation data and introducing a novel mutation weight fusion (WeiFu) score calculation method. WeiFu computes frequency and weighted fusion scores by cancer type, facilitating the identification of potential driver genes. Evaluation results on an integrated pan-cancer dataset comprising 29 different cancer types demonstrate that WeiFu significantly outperforms current well-known approaches in prediction accuracy, sensitivity, and specificity. Notably, WeiFu recovers 277 known cancer genes among the top 500 ranked candidates and successfully identifies potential driver genes supported by strong evidence. Consequently, WeiFu shows considerable promise for identifying driver genes within the rapidly expanding corpus of cancer genomic data. © 2013 IEEE.
Universiti Teknologi Malaysia, Faculty of Computing, Johor Bahru, 81310, Malaysia; Hebei Institute of Mechanical and Electrical Technology, Xingtai, 054001, China; Universiti Tun Hussein Onn Malaysia, Faculty of Computer Science and Information Technology, Parit Raja, 86400, Malaysia; Universiti Teknologi Malaysia, Faculty of Management, Johor Bahru, 81310, Malaysia; Universiti Malaysia Sarawak, Faculty of Computer Science and Information Technology, Kota Samarahan, 94300, Malaysia; Universiti Malaysia Pahang Al-Sultan Abdullah, Faculty of Computing, Pahang, 26600, Malaysia; State University of Malang, Faculty of Engineering, Malang, 65145, Indonesia; National Defence University of Malaysia, Faculty of Defence Science and Technology, Kuala Lumpur, 57000, Malaysia
