Author

Gabriel Cabas-Mora

Universidad de MagallanesORCID 0009-0004-2344-9860Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

David Medina-OrtiziD· 2 shared Nicole Soto-GarcíaiD· 2 shared Roberto Uribe-ParedesiD· 2 shared Alex Di GenovaiD· 1 shared Álvaro Olivera‐NappaiD· 1 shared Anamaria Sanchez–DazaiD· 1 shared Carol MoragaiD· 1 shared Denisse Valladares-IdeiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

David Medina-OrtizORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 19, 2026

nf-sarcopipe enables integrative discovery of exercise-responsive miRNAs and miRNA-mRNA regulatory networks associated with skeletal muscle adaptation

Natalia Poblete, Felipe Alvarez Gómez, Gabriel Cabas-Mora…·Carol Moraga

nf-sarcopipe identifies exercise-responsive miRNAs and miRNA-mRNA regulatory networks in skeletal muscle adaptation using integrative analysis of miRNA discovery and transcriptomic data.

DOI 10.64898/2026.08.12.744488

humanbulk RNA-seq

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BioinformaticsInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge ManagementPeer-reviewedJan 1, 2024

RUDEUS, a machine learning classification system to study DNA-Binding proteins

David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya-Barría…·Roberto Uribe-Paredes

RUDEUS is a machine learning system that identifies DNA-binding proteins and classifies their DNA interaction type, achieving high precision in both tasks.

6 citationstop 2%

protein sequencemachine learning (classical)

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BioinformaticsDatabasePeer-reviewedJan 1, 2024

Peptipedia v2.0: A peptide sequence database and user-friendly web platform. A major update

Gabriel Cabas-Mora, Anamaria Sanchez–Daza, Nicole Soto-García…·David Medina-Ortiz

Peptipedia v2.0 expands its peptide database by 45% and integrates machine learning models to annotate peptide sequences with biological activities.

35 citationstop 3%

protein sequencemachine learning (classical)

𝕏 PostBluesky