Author

Esteban Veiga

Consejo Superior de Investigaciones CientíficasORCID 0000-0002-7333-2466Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Almudena Méndez‐PéreziD· 2 shared Arrate Muñoz‐BarrutiaiD· 2 shared Carlos Óscar S. SorzanoiD· 2 shared Carlos Wert-CarvajaliD· 2 shared José Ramón MacíasiD· 2 shared Ramón AlemanyiD· 2 shared Rebeca Sanz PamplonaiD· 2 shared Rubén Sánchez-GarcíaiD· 2 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersImmunology

Almudena Méndez‐PérezORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

ImmunologybioRxivNov 22, 2023

Unraveling the Power of NAP-CNB's Machine Learning-enhanced Tumor Neoantigen Prediction

Almudena Méndez‐Pérez, Andrés M. Acosta-Moreno, Carlos Wert-Carvajal…·Esteban Veiga

This study validates a machine learning platform, NAP-CNB, for identifying tumor neoantigens using RNAseq data, showing improved antitumor responses with multiantigen vaccination.

2 citations

humanbulk RNA-seq

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BioinformaticsScientific ReportsPeer-reviewedMay 24, 2021

NAP-CNB: Bioinformatic pipeline to predict MHC-I-restricted T cell epitopes in mice

Carlos Wert-Carvajal, Rubén Sánchez-García, José Ramón Macías…·Arrate Muñoz‐Barrutia

NAP-CNB is a web server tool that predicts MHC-I-restricted T cell epitopes in mice using recurrent neural networks, achieving an AUC of 0.95 for H-2 peptide ligands.

12 citations

mousebulk RNA-seq

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