Zhen Xie

ERNIE-RNA is an RNA language model that incorporates base-pairing restrictions to improve structural representation, achieving state-of-the-art performance in RNA structural and functional predictions.

The paper assesses immune subtypes in gastric and hepatocellular carcinoma using TCGA data and evaluates the effect of synthetic oncolytic virotherapy on immune microenvironment.

This paper reprograms tracrRNAs to repurpose RNAs as crRNAs, enabling CRISPR function and RNA detection.

This study quantifies how microRNAs modulate gene expression noise and shows how this affects synthetic gene circuits and cell type classification.

DISMIR detects cancer using cfDNA methylation and sequence data with high accuracy at low sequencing depth.

This study introduces a competition motif model to analyze molecular competition's role in gene regulatory networks, revealing its impact on dose-response curves, response speed, noise, and target correlations.