Author

Matthieu Gendre

SIB Swiss Institute of BioinformaticsORCID 0000-0002-7049-8778Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:imputation· 1 Approach:machine learning (classical)· 1 Approach:simulation· 1 Approach:statistical model· 1

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Catalina PimientoiD· 1 shared Daniele SilvestroiD· 1 shared Torsten HauffeiD· 1 shared

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2023-2023 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Catalina PimientoORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 6, 2023

Benchmarking imputation methods for discrete biological data

Matthieu Gendre, Torsten Hauffe, Catalina Pimiento, Daniele Silvestro

This study benchmarks imputation methods for discrete biological traits using a pipeline combining phylogenetic, machine learning, and deep learning approaches, finding an ensemble method to be most accurate.

1 citation

statistical modelmachine learning (classical)

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