Author

Norimasa Tamehiro

National Institute of Health Sciences

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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Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Hiroyuki Hanada· 1 shared Ichiro TakeuchiiD· 1 shared Kazunari KondoiD· 1 shared Kento Goto· 1 shared Reiko AdachiiD· 1 shared Takumi Yoshida· 1 shared Takuto SakumaiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Hiroyuki Hanada

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1 paper

Recent·Most cited

AllerStat: Finding Statistically Significant Allergen-Specific Patterns in Protein Sequences by Machine Learning

Kento Goto, Norimasa Tamehiro, Takumi Yoshida, Hiroyuki Hanada, Takuto Sakuma, Reiko Adachi, Kazunari Kondo, Ichiro Takeuchi

The paper introduces a machine learning method to identify statistically significant allergen-specific amino-acid sequences in proteins, achieving higher allergenicity prediction accuracy than existing approaches.

bioRxiv · Aug 17, 2021 · PreprintBioinformatics