Rémi Trimbour

ORCID: 0000-0001-8770-8412
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About
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Research Areas
  • Single-cell and spatial transcriptomics
  • Gene Regulatory Network Analysis
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • MicroRNA in disease regulation
  • RNA Research and Splicing

Centre National de la Recherche Scientifique
2023-2024

Université Paris Cité
2023-2024

Université Paris Sciences et Lettres
2023-2024

Institut Pasteur
2023-2024

Inserm
2023-2024

Institut de Biologie de l'École Normale Supérieure
2023-2024

University Hospital Heidelberg
2023

Heidelberg University
2023

Motivation The molecular identity of a cell results from complex interplay between heterogeneous layers. Recent advances in single-cell sequencing technologies have opened the possibility to measure such layers regulation. Results Here, we present HuMMuS, new method for inferring regulatory mechanisms multi-omics data. Differently state-of-the-art, HuMMuS captures cooperation biological macromolecules and can easily include additional We benchmarked with respect state-of-the-art on both...

10.1093/bioinformatics/btae143 article EN cc-by Bioinformatics 2024-03-07

Cells regulate their functions through gene expression, driven by a complex interplay of transcription factors and other regulatory mechanisms that together can be modeled as networks (GRNs). The emergence single-cell multi-omics technologies has the development several methods integrate transcriptomics chromatin accessibility data to infer GRNs. While these provide examples utility in discovering new interactions, comprehensive benchmark evaluating mechanistic predictive properties well...

10.1101/2024.12.20.629764 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-12-21

Abstract The molecular identity of a cell results from complex interplay between heterogeneous layers. Recent advances in single-cell sequencing technologies have opened the possibility to measure such layers regulation. Here, we present HuMMuS, new method for inferring regulatory mechanisms multi-omics data. Differently state-of-the-art, HuMMuS captures cooperation biological macromolecules and can easily include additional We benchmarked with respect state-of-the-art on both paired...

10.1101/2023.06.09.543828 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-06-09
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