Author

Misaki Kurata

Tokyo University of Agriculture and Technology

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· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Hiroshi TsugawaiD· 2 shared Aleš KvasničkaiD· 1 shared Bujinlkham Buyantogtokh· 1 shared Haruki UchinoiD· 1 shared Hidenori TakahashiiD· 1 shared Hiroaki TakedaiD· 1 shared Hiroyuki YamamotoiD· 1 shared Junki MiyamotoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Hiroshi TsugawaORCID

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2 papers

Recent·Most cited

OAC-PCA: orthogonal adjustment of confounding effects in principal component analysis for metabolomics data mining

Misaki Kurata, Hiroyuki Yamamoto, Hiroshi Tsugawa

OAC-PCA improves PCA for metabolomics by ensuring orthogonal components and correlation-based loadings, enabling better statistical analysis of metabolite associations with confounding factors.

bioRxiv · May 25, 2026 · PreprintBioinformatics

MS-DIAL 5 multimodal mass spectrometry data mining unveils lipidome complexities

Hiroaki Takeda, Yuki Matsuzawa, Manami Takeuchi, Mikiko Takahashi, Kozo Nishida, 武士原山, Yoshimasa Todoroki, Kuniyoshi Shimizu, Nami Sakamoto, Takaki Oka, Masashi Maekawa, Mi Hwa Chung, Yuto Kurizaki, Saki Kiuchi, Kanako Tokiyoshi, , Hiroshi Tsugawa

The paper introduces MS-DIAL 5, a tool for analyzing multimodal mass spectrometry data to elucidate lipid structures and localization using structural annotations.

Nature Communications · Nov 28, 2024Peer-reviewedBioinformatics