Author

Kazutaka Noda

Chiba University HospitalORCID 0000-0003-0017-5022Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Daiki YokokawaiD· 1 shared Kiyoshi ShikinoiD· 1 shared Masatomi IkusakaiD· 1 shared Takanori UeharaiD· 1 shared Tomoko TsukamotoiD· 1 shared Yasutaka YanagitaiD· 1 shared Yoshiyuki OhiraiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Daiki YokokawaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJun 21, 2022

Validating the representation of distance between infarctdiseases using Word2Vec word embedding

Daiki Yokokawa, Kazutaka Noda, Yasutaka Yanagita…·Masatomi Ikusaka

The paper evaluates Word2Vec embeddings for infarction-related diseases, finding that cosine distance best aligns with ICD-10 codes while Euclidean distance reflects word frequency.

DOI 10.1101/2022.06.21.496958

statistical modelbenchmarking

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