Author

Norie Araki

Kumamoto UniversityORCID 0000-0001-9987-6229Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Chih‐Hsiang ChangiD· 2 shared Akiyasu C. YoshizawaiD· 1 shared Arisu Furukawa· 1 shared Daiki KobayashiiD· 1 shared Hiroto OhguchiiD· 1 shared Kazuki Momosaki· 1 shared Kosuke OgataiD· 1 shared Maki Yamahiro· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Chih‐Hsiang ChangORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 22, 2026

Network-based integration of cross-dataset proteomic profiles using fold-change directionality

Manaka Nishizaki, Norie Araki, Shin Kawano

The paper integrates cross-dataset proteomic profiles using differential change directionality, identifying a central hub for doxorubicin treatment and associating proteome clusters with tumor stage.

DOI 10.64898/2026.04.19.718092

humanproteomics

𝕏 PostBluesky

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedJun 2, 2025

UniScore, a unified and universal measure for peptide identification by multiple search engines

Tsuyoshi Tabata, Akiyasu C. Yoshizawa, Kosuke Ogata…·Yasushi Ishihama

UniScore integrates and standardizes outputs from multiple search engines in proteomics, outperforming single search engines in large-scale data analysis.

3 citations

proteomicsstatistical model

𝕏 PostBluesky

Systems BiologyAnalytical ChemistryPeer-reviewedJul 11, 2022

Water droplet-in-oil digestion method for single-cell proteomics

Takeshi Masuda, Yuma Inamori, Arisu Furukawa…·Sumio Ohtsuki

The paper introduces a water droplet-in-oil digestion method for single-cell proteomics that improves protein and peptide recovery and enables quantification of 462 proteins from 100 cells.

23 citations

proteomicsexperimental assay

𝕏 PostBluesky