Author

Arisa Toda

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· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Masahiro SugimotoiD· 1 shared Misa Goudo· 1 shared Satoru HiwaiD· 1 shared Tomoyuki HiroyasuiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Masahiro SugimotoORCID

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1 paper

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