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

BioinformaticsbioRxivPreprintDec 30, 2024

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…·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.

DOI 10.1101/2024.12.30.630738

humanbulk RNA-seq

𝕏 PostBluesky