Author

Víctor Patón

Heidelberg UniversityORCID 0000-0002-6074-6897Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Approach:benchmark study· 2 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Julio Sáez-RodrígueziD· 3 shared Dénes TüreiiD· 2 shared Martín Garrido‐RodrígueziD· 2 shared Anne-Claire KrogeriD· 1 shared Attila GáboriD· 1 shared Aurélien J. F. DugourdiD· 1 shared Blerta Shtylla· 1 shared Chen Shen· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersBioinformatics

Julio Sáez-RodríguezORCID

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3 papers

Recent·Most cited

NetworkCommons: bridging data, knowledge and methods to build and evaluate context-specific biological networks

Víctor Patón, Dénes Türei, Olga Ivanova, Sophia Müller‐Dott, Pablo Rodríguez-Mier, Veronica Venafra, Livia Perfetto, Martín Garrido‐Rodríguez, Julio Sáez-Rodríguez

NetworkCommons integrates prior knowledge, omics data, and network inference methods to build and evaluate context-specific biological networks.

Bioinformatics · Jan 31, 2025Peer-reviewedBioinformatics

Modeling causal signal propagation in multi-omic factor space with COSMOS

Aurélien J. F. Dugourd, Pascal Lafrenz, Diego Mañanes, Víctor Patón, Robin Fallegger, Anne-Claire Kroger, Dénes Türei, Yunfan Bai, Yuxin Li, Michael Trogdon, Drew Nager, Shibing Deng, Chen Shen, John D. Lapek, Blerta Shtylla, Julio Sáez-Rodríguez

The paper introduces COSMOS+ to integrate mechanistic prior knowledge with multi-omics data analysis to generate mechanistic hypotheses about disease resistance mechanisms.

bioRxiv · Jul 15, 2024 · PreprintBioinformatics

Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results

Víctor Patón, Ricardo O. Ramirez Flores, Attila Gábor, Pau Badia-i-Mompel, Jovan Tanevski, Martín Garrido‐Rodríguez, Julio Sáez-Rodríguez

This study evaluates how different transcriptomics analysis pipelines affect downstream functional enrichment results using FLOP, finding that data filtering significantly impacts gene set correlation.

Nucleic Acids Research · Jun 19, 2024Peer-reviewedBioinformatics