Author

Jun Yamashisa

Kyoto University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:clustering· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Cantas AleviD· 1 shared Junko Yamane· 1 shared Kenji OsafuneiD· 1 shared Kuan-Chun LaniD· 1 shared Tomoya MoriiD· 1 shared Toshiro TakaseiD· 1 shared Wataru FujibuchiiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Cantas AlevORCID

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1 paper

Recent·Most cited

eSPRESSO: a spatial self-organizing-map clustering method for single-cell transcriptomes of various tissue structures using graph-based networks

Tomoya Mori, Toshiro Takase, Kuan-Chun Lan, Junko Yamane, Cantas Alev, Kenji Osafune, Jun Yamashisa, Wataru Fujibuchi

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.

bioRxiv · Dec 31, 2020 · PreprintBioinformatics