Author

Takumi Takeuchi

Japan Organization of Occupational Health and SafetyORCID 0000-0002-8769-5305Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

M. HattoriiD· 2 shared Koji MikamiiD· 1 shared Satoshi Iwai· 1 shared Yumiko OkunoiD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

M. HattoriORCID

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2 papers

Recent·Most cited

BioinformaticsCanadian Urological Association JournalPeer-reviewedOct 15, 2018

Prediction of prostate cancer by deep learning with multilayer artificial neural network.

Takumi Takeuchi, M. Hattori, Yumiko Okuno…·Koji Mikami

This study uses a multilayer artificial neural network to predict prostate cancer detection rates from biopsy data, finding it slightly more accurate than logistic regression.

53 citationstop 5%

humanimaging

GenomicsbioRxivPreprintOct 6, 2017

Introduction of single nucleotide variations into the promoter region of the mouse kidney anion exchanger 1 gene downstream of a TATA box changes its transcriptional activity.

Takumi Takeuchi, M. Hattori

The paper introduces single nucleotide variations into the murine kAE1 promoter downstream of a TATA box and assesses their effect on promoter activity, finding reduced activity for some variants.

DOI 10.1101/198457

mouseexperimental assay