Author

Nobuyoshi Kumagai

Gakushuin 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

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

Hiromi HirataiD· 1 shared Makoto KashimaiD· 1 shared Y‐h. TaguchiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Hiromi HirataORCID

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1 paper

Recent·Most cited

Tensor Decomposition-based Unsupervised Feature Extraction Succeeded in Identification of Differentially Expressed Transcripts from Redundant de novo Transcriptome of Planarian

Makoto Kashima, Nobuyoshi Kumagai, Hiromi Hirata, Y‐h. Taguchi

This study uses tensor decomposition-based unsupervised feature extraction to identify differentially expressed transcripts in planarian RNA-seq data with a highly redundant de novo transcriptome, outperforming conventional methods.

bioRxiv · Jun 15, 2021 · PreprintBioinformatics