Author

Pablo M. Olmos

Instituto de Investigación Sanitaria Gregorio MarañónORCID 0000-0003-4276-5178Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Anna Michela GaetaiD· 1 shared Arrate Muñoz‐BarrutiaiD· 1 shared Farida DakterzadaiD· 1 shared Ferrán BarbéiD· 1 shared Gerard Piñol‐RipolliD· 1 shared Lorena Gallego-ViñarásiD· 1 shared María Martínez-GarcíaiD· 1 shared Reinald PamplonaiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Anna Michela GaetaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 28, 2025

Non-linear and time-domain sleep qEEG features predict CSF protein damage markers in early Alzheimer's disease

Anna Michela Gaeta, Lorena Gallego-Viñarás, Ferrán Barbé…·Gerard Piñol‐Ripoll

The paper uses qEEG features from sleep stages to predict CSF oxidative biomarkers in early Alzheimer's disease with high accuracy.

DOI 10.1101/2025.03.28.645905

humanelectronic health records

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BioinformaticsIEEE Journal of Biomedical and Health InformaticsPeer-reviewedMay 24, 2023

Handling ill-conditioned omics data with deep probabilistic models

María Martínez-García, Pablo M. Olmos

This paper introduces a deep probabilistic model for handling ill-conditioned omics data, improving dimensionality reduction and classification while managing missing data and small sample sizes.

1 citation

bulk RNA-seqdeep learning

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