Author

Jorge García Condado

Consejo Superior de Investigaciones CientíficasORCID 0000-0002-9463-1924Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Arrate Muñoz‐BarrutiaiD· 1 shared Asier ErramuzpeiD· 1 shared Carlos Óscar S. SorzanoiD· 1 shared Iñigo Tellaetxe ElorriagaiD· 1 shared Jesús M. CortésiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Arrate Muñoz‐BarrutiaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

AgeML: Age modelling with Machine Learning

Jorge García Condado, Iñigo Tellaetxe Elorriaga, Jesús M. Cortés, Asier Erramuzpe

AgeML is an open-source software for age prediction from clinical data, enabling standardization, reproducibility, and analysis of age-related relationships in health and disease.

IEEE Journal of Biomedical and Health Informatics · Jan 17, 2025Peer-reviewedBioinformatics

Automatic determination of the handedness of Single-Particle maps of macromolecules solved by CryoEM

Jorge García Condado, Arrate Muñoz‐Barrutia, Carlos Óscar S. Sorzano

This paper introduces HaPi, a method to automatically determine the handedness of CryoEM maps, achieving 89% accuracy on simulated data and identifying 11 incorrectly handed structures in a database.

Journal of Structural Biology · Oct 29, 2022Peer-reviewedBioinformatics