Author

Michał Zawisza-Álvarez

Institut de Biomedicina de la Universitat de BarcelonaORCID 0000-0002-5466-4916Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Carlos Herrera-ÚbedaiD· 1 shared Esteban VegasiD· 1 shared Ferrán ReverteriD· 1 shared Jesús Peñuela-Melero· 1 shared Jordi García‐FernàndeziD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenetics

Carlos Herrera-ÚbedaORCID

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1 paper

Recent·Most cited

GeneticsBriefings in BioinformaticsPeer-reviewedMay 23, 2024

Exploring functional conservation in silico: a new machine learning approach to RNA-editing

Michał Zawisza-Álvarez, Jesús Peñuela-Melero, Esteban Vegas…·Carlos Herrera-Úbeda

The paper introduces a machine learning approach to assess RNA-editing functional conservation using random forest and biLSTM networks, predicting editing events and analyzing conservation across species.

2 citations

bulk RNA-seqDNA methylation

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