Tomoya Mori

The paper introduces CAPITAL, a method for comparing non-linear pseudotime trajectories in time-course single-cell RNA-seq data, enabling unbiased analysis of gene expression dynamics.

eSPRESSO reconstructs 3D tissue structures from single-cell transcriptomes using stochastic-SOM clustering and MCMC optimization, achieving high reproducibility in multiple tissues and revealing spatial discriminator genes.

scMontage provides a fast and robust gene expression similarity search tool for scRNA-seq data, linking results to a human cell database for cell-type specific information.