Author

Masahiko Nakatsui

Yamaguchi UniversityORCID 0000-0001-6531-5220Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Organism:yeast· 1

Frequent Co-Authors

Akihiko KondoiD· 1 shared Atsuko Takagi· 1 shared Christopher John VavrickaiD· 1 shared Hal S. AlperiD· 1 shared Jun IshiiiD· 1 shared Kiyotaka Y. HaraiD· 1 shared Makoto HirataiD· 1 shared Masahiro Murata· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Akihiko KondoORCID

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2 papers

Recent·Most cited

Systems BiologyLife Science AlliancePeer-reviewedAug 22, 2025

Genome-scale prediction of gene ontology from mass fingerprints reveals new metabolic gene functions

Christopher John Vavricka, Masao Mochizuki, Satoshi Yuzawa…·Michihiro Araki

This study uses MALDI-TOF mass fingerprints to predict gene ontology annotations in yeast knockouts, identifying new metabolic gene functions.

DOI 10.26508/lsa.202403154

yeastmetabolomics

𝕏 PostBluesky

GenomicsbioRxivPreprintJul 15, 2021

Network-based pathogenicity prediction for variants of uncertain significance

Mayumi Kamada, Atsuko Takagi, Ryosuke Kojima…·Yasushi Okuno

This paper introduces PathoGN, a network-based method for predicting variant pathogenicity, which outperforms existing methods and identifies pathogenicity for 3,994 variants of uncertain significance.

4 citations

whole-exome sequencingstatistical model

𝕏 PostBluesky