Wei Lin

CODA aligns and compares spatial transcriptomics data across samples, identifying spatially differential genes associated with disease and sleep regulation.

The paper develops a fibroblast atlas and a toolkit to identify key fibroblast subtypes and their associations with fibrosis, revealing potential therapeutic targets.

The paper introduces a method to detect boolean asymmetric relationships in gene expression data, identifying heterogeneity driven by asymmetric gene interactions and showing improved classifier performance.

Cell BLAST provides a tool for querying and annotating scRNA-seq data using a reference database and web interface.

The paper introduces GeACT, a genomic database for human mid-gestation fetus cells, linking gene expression to chromatin states and identifying key transcription factors.

SuperCT improves single-cell transcriptomic analysis by using a supervised classifier to accurately identify cell types from RNA expression profiles, outperforming traditional unsupervised methods.