Xin Shao

miRTalk infers EV-derived miRNA-mediated cell-cell communication from scRNA-seq data, showing high accuracy in simulated and real datasets.

This study identifies PICK1 as a bridge between KIBRA and AMPA receptors, revealing structural mechanisms of their coiled-coil-driven supramolecular complex formation.

This study evaluates GPT-4 and GPT-3.5 in molecular tasks, showing their strengths in molecular optimization but challenges in generating complex molecules.

Bulk2Space deconvolves bulk RNA-seq data to reveal spatial and cellular heterogeneity using single-cell and spatial transcriptomics references, identifying immune cell spatial variance and novel gene patterns in mouse brain regions.

SpaTalk infers cell-cell communication from spatial transcriptomic data using a knowledge graph and graph network, outperforming existing methods on public datasets and revealing insights into tissue communication mechanisms.

scSpace reconstructs a pseudo-space from single-cell RNA-seq data to identify spatially variable cell subclusters and their biological relevance.

The paper constructs a single-cell transcriptomic atlas of transplanted livers and identifies an EAD-associated pathogenic cellular module.

scDeepSort is a reference-free cell-type annotation tool for scRNA-seq data that outperforms reference-dependent methods in accuracy across human and mouse datasets.