Ricard Argelaguet
Ricard Argelaguet
Altos Labs
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Cited by
Cited by
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
R Argelaguet, B Velten, D Arnol, S Dietrich, T Zenz, JC Marioni, F Buettner, ...
Molecular systems biology 14 (6), e8124, 2018
scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells
SJ Clark, R Argelaguet, CA Kapourani, TM Stubbs, HJ Lee, ...
Nature communications 9 (1), 781, 2018
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
R Argelaguet, D Arnol, D Bredikhin, Y Deloro, B Velten, JC Marioni, ...
Genome biology 21 (1), 1-17, 2020
Multi-omics profiling of mouse gastrulation at single-cell resolution
R Argelaguet, SJ Clark, H Mohammed, LC Stapel, C Krueger, ...
Nature 576 (7787), 487-491, 2019
Computational principles and challenges in single-cell data integration
R Argelaguet, ASE Cuomo, O Stegle, JC Marioni
Nature biotechnology 39 (10), 1202-1215, 2021
Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis
T Lohoff, S Ghazanfar, A Missarova, N Koulena, N Pierson, JA Griffiths, ...
Nature biotechnology 40 (1), 74-85, 2022
Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO
B Velten, JM Braunger, R Argelaguet, D Arnol, J Wirbel, D Bredikhin, ...
Nature methods 19 (2), 179-186, 2022
8C-like cells capture the human zygotic genome activation program in vitro
J Taubenschmid-Stowers, M Rostovskaya, F Santos, S Ljung, ...
Cell Stem Cell 29 (3), 449-459. e6, 2022
Integrative transkingdom analysis of the gut microbiome in antibiotic perturbation and critical illness
BW Haak, R Argelaguet, CM Kinsella, RFJ Kullberg, JM Lankelma, ...
Msystems 6 (2), e01148-20, 2021
Mendelian randomization
E Birney
Cold Spring Harbor Perspectives in Medicine 12 (4), a041302, 2022
scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
CA Kapourani, R Argelaguet, G Sanguinetti, CA Vallejos
Genome Biology 22, 1-21, 2021
Decoding gene regulation in the mouse embryo using single-cell multi-omics
R Argelaguet, T Lohoff, JG Li, A Nakhuda, D Drage, F Krueger, L Velten, ...
bioRxiv, 2022.06. 15.496239, 2022
Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis
SJ Clark, R Argelaguet, T Lohoff, F Krueger, D Drage, B Göttgens, ...
Genome Biology 23 (1), 1-20, 2022
Community-wide hackathons to identify central themes in single-cell multi-omics
KA Lê Cao, AJ Abadi, EF Davis-Marcisak, L Hsu, A Arora, A Coullomb, ...
Genome biology 22, 1-21, 2021
Curated Single Cell Multimodal Landmark Datasets for R/Bioconductor
KB Eckenrode, D Righelli, M Ramos, R Argelaguet, C Vanderaa, ...
bioRxiv, 2021.10. 27.466079, 2021
Tracking Early Mammalian Organogenesis–Prediction and Validation of Differentiation Trajectories at Whole Organism Scale
I Imaz-Rosshandler, C Rode, C Guibentif, MLN Ton, P Dhapola, D Keitley, ...
bioRxiv, 2023.03. 17.532833, 2023
Inter-gastruloid heterogeneity revealed by single cell transcriptomics time course: implications for organoid based perturbation studies
LU Rosen, LC Stapel, R Argelaguet, CG Barker, A Yang, W Reik, ...
bioRxiv, 2022.09. 27.509783, 2022
Statistical methods for the integrative analysis of single-cell multi-omics data
R Argelaguet
University of Cambridge, 2020
Tracking Early Mammalian Organogenesis-Prediction and Validation of Differentiation Trajectories at Whole Organism Scale
B Gottgens, M de Bruijn, JC Marioni, J Nichols, FJ Calero-Nieto, ...
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