Author

Ryosuke Nomura

National Cancer CenterORCID 0009-0009-9282-3218Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ryosuke Nomura1 paper · Kyoto University

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Assay:spatial transcriptomics· 3 Research Focus:differential expression· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1

Frequent Co-Authors

Katsuya TsuchiharaiD· 3 shared Shun‐Ichiro KageyamaiD· 3 shared Shunsuke A. SakaiiD· 3 shared Ayako SuzukiiD· 2 shared Riu YamashitaiD· 2 shared SungGi ChiiD· 2 shared Eiji OkiiD· 1 shared Hideaki BandoiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBioinformatics

Katsuya TsuchiharaORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 22, 2026

SPATNIC enables H&E-grounded cancer-cell identification across spatial and single-cell transcriptomic modalities in colorectal cancer

Shunsuke A. Sakai, Ryosuke Nomura, Masaki Ohira…·Riu Yamashita

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.

DOI 10.64898/2026.10.21.760612

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintFeb 28, 2026

SpatialCompassV (SCOMV): De novo cell and gene spatial pattern classification and spatially differential gene identification

Ryosuke Nomura, Shunsuke A. Sakai, Shun‐Ichiro Kageyama…·Riu Yamashita

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

DOI 10.64898/2026.02.26.707418

humanspatial transcriptomics

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BioinformaticsbioRxivPreprintJun 18, 2024

Spatial domain analysis to estimate spatiotemporal pathological mechanisms in microenvironment with single-cell spatial omics data

Shunsuke A. Sakai, Ryosuke Nomura, Satoi Nagasawa…·Riu Yamashita

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

DOI 10.1101/2024.06.18.599475

humanspatial transcriptomics

𝕏 PostBluesky