Author

Juan P. Bernal-Tamayo

King Abdullah University of Science and TechnologyORCID 0009-0002-9404-1235Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

David Gómez-CabreroiD· 2 shared Jesper N. TegneriD· 2 shared Narsis A. KianiiD· 2 shared Ali BalubaidiD· 1 shared Amaia Vilas‐ZornozaiD· 1 shared Felipe PrósperiD· 1 shared Hafeez AgboolaiD· 1 shared Larisa M. SotoiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

David Gómez-CabreroORCID

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2 papers

Recent·Most cited

Fundamental Limits of Inferring Dynamical Gene Regulatory Models from Single-Cell Data

Ali Balubaid, Juan P. Bernal-Tamayo, Rohit Kumar, Hafeez Agboola, David Gómez-Cabrero, Narsis A. Kiani, Jesper N. Tegner

This study evaluates methods for inferring Jacobian matrices from single-cell data to model gene regulatory dynamics, finding that while some methods capture behavioral properties, they fail to reliably capture structural properties.

bioRxiv · Sep 12, 2025 · PreprintBioinformatics

scMomentum: Inference of Cell-Type-Specific Regulatory Networks and Energy Landscapes

Larisa M. Soto, Juan P. Bernal-Tamayo, Robert Lehmann, Subash Balsamy, Xabier Martinez‐de‐Morentin, Amaia Vilas‐Zornoza, Patxi San-Martin, Felipe Prósper, David Gómez-Cabrero, Narsis A. Kiani, Jesper N. Tegner

scMomentum infers cell-type-specific regulatory networks and energy landscapes from single-cell transcriptomic data without needing temporal or perturbation experiments.

bioRxiv · Dec 30, 2020 · PreprintSystems Biology