Author

Erica Garcia-Verellen

Barcelona Supercomputing CenterORCID 0009-0004-7658-5241Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Alejandro Tejada-LapuertaiD· 1 shared Alfonso ValenciaiD· 1 shared Arnau MontagudiD· 1 shared Beatriz Urda-GarcíaiD· 1 shared Davide CirilloiD· 1 shared Guillermo Prol-CasteloiD· 1 shared Iker Núñez‐CarpinteroiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Alejandro Tejada-LapuertaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Explainable Generative AI Uncovers a Molecular Continuum in Medulloblastoma with Implications for Rare Cancer Subtyping and Treatment Equity

Guillermo Prol-Castelo, Alejandro Tejada-Lapuerta, Beatriz Urda-García, Iker Núñez‐Carpintero, Erica Garcia-Verellen, Arnau Montagud, Alfonso Valencia, Davide Cirillo

This study uses synthetic data generation and explainable AI to uncover an intermediate subgroup in medulloblastoma, highlighting treatment disparities and supporting the continuum hypothesis between Groups 3 and 4.

bioRxiv · Dec 30, 2024 · PreprintBioinformatics