Author

Luca Fumagalli

IRCCS Eugenio MedeaORCID 0009-0007-4344-9261Unclaimed ORCID profile · follow to get notified of new preprints

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Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

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Matteo CeredaiD· 1 shared Tommaso BecchiiD· 1 shared Uberto PozzoliiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Matteo CeredaORCID

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1 paper

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BioinformaticsbioRxivPreprintJun 7, 2026

KDM: embedding DNA/RNA motifs and sequences in a shared k-mer space for unified discovery, analysis and binding prediction

Luca Fumagalli, Tommaso Becchi, Matteo Cereda, Uberto Pozzoli

KDM provides a unified framework for motif discovery, analysis, and binding prediction by embedding DNA/RNA sequences and motifs in a shared k-mer space using the Hellinger transformation and Bhattacharyya coefficient.

DOI 10.64898/2026.06.05.730329

ChIP-seqelectronic health records

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