Author

Yoshitaka Inoue

National Institutes of HealthORCID 0000-0003-4432-8166Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alexei Lobanov· 1 shared Augustin LunaiD· 1 shared Charlie Seibert· 1 shared Daiki TaniyamaiD· 1 shared Ethan KulmaniD· 1 shared Fathi ElloumiiD· 1 shared Michael C. KellyiD· 1 shared Mirit I. AladjemiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

Alexei Lobanov

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 7, 2026

Dynamic Schlafen 11 (SLFN11) expression revealed by single-cell RNA sequencing of clonal human cancer cells

Daiki Taniyama, Yoshitaka Inoue, Fathi Elloumi…·Yves Pommier

The paper uses single-cell RNA sequencing to show heterogeneous SLFN11 expression in cancer cells, linking it to stress response and genome maintenance.

DOI 10.64898/2026.10.01.755884

humanscRNA-seq

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BioinformaticsbioRxivPreprintApr 5, 2024

BiGCN: Leveraging Cell and Gene Similarities for Single-cell Transcriptome Imputation with Bi-Graph Convolutional Networks

Yoshitaka Inoue, Ethan Kulman, Rui Kuang

BiGCN improves single-cell RNA-seq imputation by integrating cell similarities and gene co-expression using dual graph convolutional networks, outperforming existing methods in imputation and clustering.

DOI 10.1101/2024.04.05.588342

humanscRNA-seq

𝕏 PostBluesky