Kyoko Kurihara

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.

The paper analyzes gut microbiota changes across 264 cancer patients treated with 22 anticancer drugs, finding drug-specific and treatment-related microbiota alterations.

The paper develops a host-response-based framework to detect viral infections by analyzing ISG expression in RNA-seq data from diverse species, revealing hidden infections missed by conventional methods.

This paper demonstrates a method to sequence long protein strands with single-amino-acid sensitivity using nanopore sensors and ClpX unfoldase, enabling accurate protein barcode sequencing and analysis of folded protein domains.