Xueqing Peng

DNFE detects tipping points in biological processes by transforming omics data into directed networks, showing robustness and identifying critical states and regulatory relationships.

The paper introduces an attention-based deep multiple instance learning model for circRNA identification from lncRNA, showing improved performance and identifying key sequence motifs.

This study simulates scRNA-seq data to evaluate how sequencing parameters and clustering algorithms affect cell clustering accuracy.