Author

Dominik Kempa

University of HelsinkiORCID 0000-0003-2286-7417Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre P. FranciscoiD· 1 shared Esko UkkoneniD· 1 shared Jarkko ToivoneniD· 1 shared Leena SalmelaiD· 1 shared Sophie SverdloviD· 1 shared Travis GagieiD· 1 shared

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2017-2017 · peak 1/yr

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1 shared paperBioinformatics

Alexandre P. FranciscoORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 27, 2017

An Experiment in Learning the Language of Sequence Motifs: Sequence Logos vs. Finite-State Machines

Alexandre P. Francisco, Travis Gagie, Dominik Kempa…·Esko Ukkonen

The paper compares finite-state machines and position weight matrices for modeling sequence motifs, finding FSMs provide better discrimination of positive and negative sequences.

DOI 10.1101/143024

DNA methylationstatistical model

𝕏 PostBluesky