Xianglin Zhang

Deconer evaluates reference-based cell type deconvolution methods using simulated and real gene expression data, comparing 14 methods across multiple criteria and providing guidance for users.

This study investigates neurofunctional correlates of print-sound integration in Chinese children with and without dyslexia, finding atypical relationships between neural integration and reading abilities in dyslexia.

This study investigates the neural basis of print-sound integration in Chinese children, finding script-specific and universal patterns in the superior temporal cortex related to reading abilities.

ARIC estimates cell type proportions from bulk gene expression or DNA methylation data, showing accuracy in both data types.

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

This study identifies ribosomal DNA methylation as a stable biomarker for detecting cancer in plasma with high accuracy across multiple cancer types.