Author

Han-Ming WU

National Chengchi UniversityORCID 0000-0001-9464-3127Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 21, 2026

S-IGTD: supervised tabular-to-image topology learning via between-group correlation for multiclass classification of biological data

Han-Ming WU

The paper introduces S-IGTD, a supervised method for converting tabular biological data into image layouts for classification, showing improved performance over existing methods.

DOI 10.64898/2026.05.19.726105

statistical modelmachine learning (classical)

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