Author

Misa Goudo

Doshisha University

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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Organism:human· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Masahiro SugimotoiD· 2 shared Satoru HiwaiD· 2 shared Tomoyuki HiroyasuiD· 2 shared Arisa Toda· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Masahiro SugimotoORCID

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2 papers

Recent·Most cited

Comparison of classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data

Arisa Toda, Misa Goudo, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu

The paper compares classification accuracy and feature selection between sparse and non-sparse modeling of metabolomics data using serum lipidomic data from breast cancer patients.

bioRxiv · Apr 3, 2023 · PreprintBioinformatics

The usefulness of sparse k-means in metabolomics data: Anexample from breast cancer data

Misa Goudo, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu

This study evaluates sparse k-means for metabolomics data, showing it improves clustering accuracy with fewer metabolites in breast cancer subtypes.

bioRxiv · Feb 5, 2022 · PreprintBioinformatics