Defining relative mutational difficulty to understand cancer formation and prevention
H. Jiang, L. Shan, J. Yu, J. Z. He, S. S. Chen, X. M. Liu, Y. H. Ding, L. Xu, J. Zhao, L. A. Yang
The paper introduces a method to predict the functionality of low-frequency missense mutations by integrating mutation counts with relative mutational difficulty, revealing functional p53 mutations and potential cancer prevention strategies.
bioRxiv · Oct 1, 2019Cancer Biology