Ryosuke Nomura

SPATNIC is a variational autoencoder that identifies cancer cells from spatial and single-cell transcriptomic data in colorectal cancer, outperforming existing tools and identifying a rare cancer stem cell population.

SCOMV classifies cell and gene spatial patterns and identifies spatially differential genes in spatial transcriptomic data without prior knowledge.

The paper introduces SpatialKNife, a toolkit for analyzing single-cell spatial omics data to estimate spatiotemporal pathological mechanisms in microenvironments.

This study investigates the virological properties of the SARS-CoV-2 HK.3 variant, a FLip variant with substitutions S:L455F and S:F456L, to assess its growth advantage.