Author

Ricard Ferrer

Universitat Autònoma de BarcelonaORCID 0000-0002-4859-4747Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Adolfo Ruiz-SanmartíniD· 1 shared Alexander AusheviD· 1 shared Alfredo VellidoiD· 1 shared Anis BarmadaiD· 1 shared Anna Guiomar Ferreté-BonastreiD· 1 shared Antoine HerpainiD· 1 shared Bernardo Bollen PintoiD· 1 shared Carlos de la Calle‐FabregatiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Adolfo Ruiz-SanmartínORCID

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2 papers

Recent·Most cited

Epigenetic and transcriptomic reprogramming in monocytes of severe COVID-19 patients reflects alterations in myeloid differentiation and the influence of inflammatory cytokines

Gerard Godoy‐Tena, Anis Barmada, Octavio Morante-Palacios, Carlos de la Calle‐Fabregat, Ricardo Martins-Ferreira, Anna Guiomar Ferreté-Bonastre, Laura Ciudad, Adolfo Ruiz-Sanmartín, Mónica Martínez‐Gallo, Ricard Ferrer, Juan Carlos Ruiz‐Rodríguez, Javier Rodríguez‐Ubreva, Roser Vento‐Tormo, Esteban Ballestar

The paper examines DNA methylation and transcriptomic changes in monocytes from severe COVID-19 patients, identifying epigenetic and transcriptional reprogramming linked to myeloid differentiation and inflammatory cytokines.

Genome Medicine · Nov 29, 2022Peer-reviewedGenetic & Genomic Medicine

Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase

Alexander Aushev, Vicent J. Ribas, Alfredo Vellido, Federico Mario Aletti, Bernardo Bollen Pinto, Antoine Herpain, Emiel Hendrik Post, Eduardo Romay Medina, Ricard Ferrer, Giuseppe Baselli, Karim Bendjelid

The paper develops a predictive model for ICU mortality in septic and cardiogenic shock using feature selection and Bayesian Networks, identifying time-dependent predictive features.

PLoS ONE · Nov 20, 2018Peer-reviewedBioinformatics