Author

Fernando Carazo

Universidad de NavarraORCID 0000-0002-4288-3652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1

Frequent Co-Authors

Ángel RubioiD· 2 shared Ander MuniateguiiD· 1 shared Carlos CastillaiD· 1 shared Danel Olaverri-MendizabaliD· 1 shared Edurne San José‐EneriziD· 1 shared Estíbaliz MirandaiD· 1 shared Felipe PrósperiD· 1 shared Fernando J. de MigueliD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersGenomics

Ángel RubioORCID

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Author profile →

3 papers

Recent·Most cited

DeepRBP: A novel deep neural network for inferring splicing regulation

Joseba Sancho-Zamora, Juan A. Ferrer-Bonsoms, Danel Olaverri-Mendizabal, Fernando Carazo, Luis V. Valcárcel, Idoia Ochoa

DeepRBP identifies RNA-binding protein-gene regulation pairs using a deep learning framework and explainability module, validated on known interactions.

bioRxiv · Apr 11, 2024 · PreprintBioinformatics

Identifying Lethal Dependencies with HUGE Predictive Power from Large-Scale Functional Genomic Screens

Fernando Carazo, Edurne San José‐Eneriz, Marian Gimeno, Leire Gárate, Estíbaliz Miranda, Carlos Castilla, Xabier Agirre, Ángel Rubio, Felipe Prósper

The paper improves prediction of lethal gene dependencies using the HUGE method, achieving 75x higher statistical power than existing methods in cancer genomics.

bioRxiv · Oct 29, 2021 · PreprintGenomics

Comparison of RNA-seq and Microarray Platforms for Splice Event Detection using a Cross-Platform Algorithm

Juan P. Romero, María Ortiz-Estévez, Ander Muniategui, Soraya Carrancio, Fernando J. de Miguel, Fernando Carazo, Luis M. Montuenga, Remco Loos, Rubén Pı́o, Matthew W. B. Trotter, Ángel Rubio

This study compares RNA-seq and junction arrays for detecting splice events using a cross-platform algorithm, finding RNA-seq superior for novel events but both coherent for known regions.

BMC Genomics · Sep 25, 2018Peer-reviewedBioinformatics