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Ricard Argelaguet

Showing results (1-10 of 19) with videos related to

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Genome Biology|April 21, 2021
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolutionChantriolnt-Andreas Kapourani, Ricard Argelaguet, Guido Sanguinetti, et al.
Nature Biotechnology|May 4, 2021
Computational principles and challenges in single-cell data integrationRicard Argelaguet, Anna S E Cuomo, Oliver Stegle, et al.
Genome Biology|May 13, 2020
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell dataRicard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Nature Methods|January 14, 2022
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTOBritta Velten, Jana M Braunger, Ricard Argelaguet, et al.
Cell Stem Cell|February 26, 2022
8C-like cells capture the human zygotic genome activation program in vitroJasmin Taubenschmid-Stowers, Maria Rostovskaya, Fátima Santos, et al.
Molecular Systems Biology|June 22, 2018
Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data setsRicard Argelaguet, Britta Velten, Damien Arnol, et al.
Genome Biology|September 26, 2022
Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesisStephen J Clark, Ricard Argelaguet, Tim Lohoff, et al.
Nature Reviews. Genetics|June 26, 2023
Gene regulatory network inference in the era of single-cell multi-omicsPau Badia-I-Mompel, Lorna Wessels, Sophia Müller-Dott, et al.
Plos Computational Biology|August 25, 2023
Curated single cell multimodal landmark datasets for R/BioconductorKelly B Eckenrode, Dario Righelli, Marcel Ramos, et al.
Science Advances|August 6, 2025
Combinatorial profiling of multiple histone modifications and transcriptome in single cells using scMTR-seqYang Wang, Jingyu Li, Andrew A Malcolm, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Genome Biology|April 21, 2021
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolutionChantriolnt-Andreas Kapourani, Ricard Argelaguet, Guido Sanguinetti, et al.
Nature Biotechnology|May 4, 2021
Computational principles and challenges in single-cell data integrationRicard Argelaguet, Anna S E Cuomo, Oliver Stegle, et al.
Genome Biology|May 13, 2020
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell dataRicard Argelaguet, Damien Arnol, Danila Bredikhin, et al.
Nature Methods|January 14, 2022
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTOBritta Velten, Jana M Braunger, Ricard Argelaguet, et al.
Cell Stem Cell|February 26, 2022
8C-like cells capture the human zygotic genome activation program in vitroJasmin Taubenschmid-Stowers, Maria Rostovskaya, Fátima Santos, et al.
Molecular Systems Biology|June 22, 2018
Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data setsRicard Argelaguet, Britta Velten, Damien Arnol, et al.
Genome Biology|September 26, 2022
Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesisStephen J Clark, Ricard Argelaguet, Tim Lohoff, et al.
Nature Reviews. Genetics|June 26, 2023
Gene regulatory network inference in the era of single-cell multi-omicsPau Badia-I-Mompel, Lorna Wessels, Sophia Müller-Dott, et al.
Plos Computational Biology|August 25, 2023
Curated single cell multimodal landmark datasets for R/BioconductorKelly B Eckenrode, Dario Righelli, Marcel Ramos, et al.
Science Advances|August 6, 2025
Combinatorial profiling of multiple histone modifications and transcriptome in single cells using scMTR-seqYang Wang, Jingyu Li, Andrew A Malcolm, et al.
Pageof 2