Author

T. Fujioka

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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Cell Biology· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

D. Song· 1 shared G. Takahashi· 1 shared J. Li· 1 shared m. K. Saito· 1 shared M. Matsuo-Takasaki· 1 shared M. Noguchi· 1 shared M. Takami· 1 shared N. Miharada· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

D. Song

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2 papers

Recent·Most cited

Cell BiologyHuman Molecular GeneticsPeer-reviewedOct 28, 2022

Retinoids rescue ceruloplasmin secretion and alleviate oxidative stress in Wilson's disease-specific hepatocytes

D. Song, G. Takahashi, Y.-W. Zheng…·Y. Hayashi

This study uses patient-derived iPSCs to identify retinoids as potential therapeutics for Wilson's disease by rescuing ceruloplasmin secretion and reducing oxidative stress.

DOI 10.1093/hmg/ddac080

humanbulk RNA-seq

𝕏 PostBluesky

Cell BiologybioRxivOct 30, 2018

Automatic Single-Cell Discrimination by Cellular Appearance using Convolutional Neural Network

Y. Matsuoka, R. Nakatsuka, T. Fujioka

This paper shows that a convolutional neural network can classify hematopoietic tumor cell lines with >90% accuracy using bright-field images.

DOI 10.1007/s13577-021-00506-2

imagingdeep learning

𝕏 PostBluesky