Yuanchao Zhang

This study uses multiomic analysis to identify WNT pathway enrichment and transition cells in BWS hepatoblastoma, revealing unique tumor heterogeneity and potential targets for intervention.

This study investigates how SARS-CoV-2 infection affects mitochondrial gene expression in different tissues and disease stages, finding targeted inhibition in some organs and upregulation in others.

This paper introduces CarDEC, a deep learning model that simultaneously corrects batch effects, denoises, and clusters scRNA-seq data, outperforming existing methods in multiple evaluations.

Scedar is a Python package for scRNA-seq exploratory analysis, offering visualization, imputation, rare profile detection, and clustering on large datasets efficiently and without distribution assumptions.

The paper develops a method to simulate cellular metabolism using scRNA-seq data and validates it with NAD+ biosynthesis flux measurements in mouse tissues.

RNA-Seq 2G provides a web portal with 25 differential expression methods for RNA-seq data, showing that data distribution assumptions significantly affect results.