WITER: A powerful method for the estimation of cancer-driver genes using a weighted iterative regression accurately modelling background mutation rate
Lin Jiang, Jingjing Zheng, Johnny Sheung Him Kwan, Sheng Dai, Cong Li, Mulin Jun Li, Bolan Yu, Ka Fai To, Pak Chung Sham, Yonghong Zhu, Miaoxin Li
WITER improves cancer-driver gene detection by accurately modeling background mutations, identifying 178 driver genes across 26 cancers with high validation rates.
bioRxiv · Feb 10, 2019 · PreprintBioinformatics