Xinning Shan

CONCISE improves spatial ligand-receptor interaction inference by accounting for spatial autocorrelation and measurement errors, reducing false positives and enhancing detection power in spatial transcriptomics data.

This study compares p-value and correlation strength for selecting gene pairs in single-cell data, finding p-values more robust for co-expression network estimation and benchmarking.

The paper introduces CS-CORE, a statistical method to infer cell-type-specific gene co-expressions from scRNA-seq data, showing improved accuracy and biological relevance compared to existing methods.