Author

Simon Cabello‐Aguilar

InsermORCID 0000-0002-2904-7430Unclaimed 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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Approach:statistical model· 3 Research Focus:cell-cell communication· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Jacques ColingeiD· 2 shared Andrei TurtoïiD· 1 shared Caroline Fau· 1 shared Catherine GozéiD· 1 shared Charles Van GoethemiD· 1 shared Didier Pourquier· 1 shared Emmanuel CornillotiD· 1 shared Evelyne Lopez‐CrapeziD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Jacques ColingeORCID

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3 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedMay 5, 2023

Inferring ligand-receptor cellular networks from bulk and spatial transcriptomic datasets with BulkSignalR

Jean-Philippe Villemin, Laia Bassaganyas, Didier Pourquier…·Jacques Colinge

BulkSignalR infers ligand-receptor networks from bulk and spatial transcriptomic data, showing higher quality inferences compared to existing tools.

47 citationstop 4%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsMolecular Therapy — Nucleic AcidsPeer-reviewedSep 22, 2022

ifCNV: a novel isolation-forest-based package to detect copy number variations from NGS datasets

Simon Cabello‐Aguilar, Julie A. Vendrell, Charles Van Goethem…·Jérôme Solassol

ifCNV detects copy number variations using isolation forests and a scoring method, validated on diverse datasets with high accuracy.

11 citations

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedMar 10, 2020

SingleCellSignalR: Inference of intercellular networks from single-cell transcriptomics

Simon Cabello‐Aguilar, Mélissa Alame, Fabien Kon-Sun-Tack…·Jacques Colinge

SingleCellSignalR infers intercellular networks from single-cell transcriptomics and identifies a communication structure from external to basal layers in mouse epidermis.

408 citationstop 1%

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