Guangzhao Cheng

This paper introduces Brieno, a self-supervised model for raw nanopore signals that improves read classification and methylation detection without reference genomes.

segSHAPE improves RNA secondary structure prediction from Nanopore DRS data by enhancing signal alignment and modification rate estimation, achieving higher accuracy than existing methods.

This paper introduces SegPore, a method for improving raw signal segmentation in Nanopore direct RNA sequencing, leading to better RNA modification detection.

The paper introduces SCAPE-APA, an improved version of SCAPE for estimating alternative polyadenylation events from scRNA-seq data, with optimizations for speed and reliability.