Yinghui Li

This study benchmarks deep learning methods for RNA tertiary structure prediction, finding that ML methods outperform non-ML methods but struggle with novel RNAs and non-Watson-Crick pairs.

This study shows that TWEAK/Fn14 signalling rewires the transcriptomic and epigenomic landscape of TNBC, promoting metastasis through super-enhancer-driven metabolic reprogramming.

This study shows that aberrant non-canonical NF-kappaB signalling reprograms the epigenome to drive oncogenic transcriptomes in multiple myeloma by promoting super-enhancers and cis-regulatory interactions.

This paper introduces OPERA, a method for detecting low-frequency mutations in short and rare cell-free DNA, achieving higher sensitivity than existing methods.