Author

Valerio Hoyos‐Villegas

McGill UniversityORCID 0000-0003-1080-9148Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Henry Alexander Cordoba-NovoaiD· 2 shared Ana BertheliD· 1 shared Edward S. BuckleriD· 1 shared Lynn JohnsoniD· 1 shared M. Cinta RomayiD· 1 shared Parthiba M. BalasubramanianiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersGenetics

Henry Alexander Cordoba-NovoaORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintMay 5, 2025

Prioritization of Deleterious Mutations Improves Genomic Prediction and Increases the Rate of Genetic Gain in Common Bean (Phaseolus vulgaris L.), a Simulation Study

Henry Alexander Cordoba-Novoa, Valerio Hoyos‐Villegas

This study shows that prioritizing deleterious mutations improves genomic prediction accuracy for yield in common bean and increases genetic gain through optimized breeding strategies.

DOI 10.1101/2025.05.05.652208

plant (other)whole-genome sequencing

𝕏 PostBluesky

Plant BiologybioRxivPreprintMay 5, 2025

Phylogenetic Analysis and Machine Learning Identify Signatures of Selection and Predict Deleterious Mutations in Common Bean

Henry Alexander Cordoba-Novoa, Edward S. Buckler, M. Cinta Romay…·Valerio Hoyos‐Villegas

The paper identifies selection signatures and predicts deleterious mutations in common bean using phylogenetic analysis and machine learning, showing correlations with agronomic traits.

2 citations

plant (other)whole-genome sequencing

𝕏 PostBluesky