| 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 | 605 | 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 | 500 | 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 | 289 | 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 | 281 | 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 | 150 | 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 | 103* | 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 | 50 | 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 | 35 | 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 | 24 | 2021 |
| Mendelian randomization E Birney Cold Spring Harbor Perspectives in Medicine 12 (4), a041302, 2022 | 15 | 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 | 14 | 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 | 9 | 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 | 8 | 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 | 4 | 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 | 3 | 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 | 1 | 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 | 1 | 2022 |
| Statistical methods for the integrative analysis of single-cell multi-omics data R Argelaguet University of Cambridge, 2020 | 1 | 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, ... | | 2023 |
John MarioniEMBL-EBIVerified email at ebi.ac.uk
