Yichi Xu

This paper introduces a learned single-cell spatiotemporal manifold to analyze tissue morphology and dynamics over time.

scIsoAgent improves long-read single-cell RNA-seq analysis by creating reproducible, isoform-resolved workflows and linking sequence data to functional hypotheses.

This study develops circRNA-based in vivo CAR and vaccines that synergistically enhance anti-tumor immunity in mice.

The paper refines a human heart atlas using multi-modal data from the first trimester, identifying novel cell types and spatial features in cardiac development.

The paper identifies a novel PCP-related polarity scheme that regulates sequential rosettes in C. elegans embryos, distinct from known PCP mechanisms in convergent extension.

This study creates a single-cell transcriptome atlas of human early embryogenesis, identifying 313 cell types and their spatial organization across 18 developmental systems.

This study maps the molecular lineage of chordate embryogenesis using single-cell transcriptomics in Ciona savignyi, identifying 47 cell types and revealing fate determination mechanisms.

This study shows that HMR-1/Cadherin mediates tissue cohesion during C. elegans neurulation, suggesting a potential homology with vertebrate neurulation.

The paper presents a deep learning method using GANs and feature transfer to classify cell shapes with minimal training samples, achieving high accuracy in detecting multicellular rosettes in C. elegans embryos.