Yixian Cun

The paper analyzes m6A methylomes across nine human tissues to show how m6A variation contributes to tumor heterogeneity and clinical outcomes in different cancer types.

The paper develops HDAMS, a method that improves differential m6A site analysis by incorporating antibody specificity predictions, leading to more accurate and functionally relevant results.

This paper introduces m6Aiso, a deep learning model that accurately detects m6A sites on single RNA molecules using endogenous labeling and DRS data, revealing new insights into m6A dynamics across RNA isoforms.

This study identifies SRSF7 as a novel m6A regulator that promotes glioblastoma cell proliferation and migration through m6A methylation of specific target mRNAs.