Author

Yasuyuki Seto

The University of TokyoORCID 0000-0002-6953-8752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Asami Yamamoto· 2 shared Daisuke KomuraiD· 2 shared Hiroto KatohiD· 2 shared Shumpei IshikawaiD· 2 shared Ayumu TsubosakaiD· 1 shared Hiroki Konishi· 1 shared Hirotomo Koda· 1 shared Hiroyuki AbéiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Asami Yamamoto

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Single-Cell Transcriptome Analyses Reveal the Cell Diversity and Developmental Features of Human Gastric and Metaplastic Mucosa

Ayumu Tsubosaka, Daisuke Komura, Miwako Kakiuchi, Hiroto Katoh, Takumi Onoyama, Asami Yamamoto, Hiroyuki Abé, Yasuyuki Seto, Tetsuo Ushiku, Shumpei Ishikawa

This study uses single-cell RNA sequencing to create a large cell atlas of the human stomach, revealing new insights into cell diversity and developmental features, including potential stem cell markers and fibroblast distribution patterns in gastric and metaplastic mucosa.

Cell Reports · Oct 1, 2023Peer-reviewedGenomics

Capturing the Differences between Humoral Immunity in the Normal and Tumor Environments from Repertoire-Seq of B-Cell Receptors Using Supervised Machine Learning

Hiroki Konishi, Daisuke Komura, Hiroto Katoh, Shinichiro Atsumi, Hirotomo Koda, Asami Yamamoto, Yasuyuki Seto, Masashi Fukayama, Rui Yamaguchi, Seiya Imoto, Shumpei Ishikawa

This study uses supervised machine learning to classify BCR/Ig sequences from normal and tumor tissues, finding distinct sequence-level features between the two environments.

BMC Bioinformatics · May 28, 2019Peer-reviewedBioinformatics