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 | 986 | 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 | 634 | 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, 1-17, 2020 | 561 | 2020 |
Mendelian randomization E Birney Cold Spring Harbor perspectives in medicine 12 (4), a041302, 2022 | 498 | 2022 |
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 | 421 | 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 | 316 | 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 | 249* | 2022 |
Gene regulatory network inference in the era of single-cell multi-omics P Badia-i-Mompel, L Wessels, S Müller-Dott, R Trimbour, ... Nature Reviews Genetics 24 (11), 739-754, 2023 | 151 | 2023 |
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 | 121 | 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 | 104 | 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), 10.1128/msystems. 01148-20, 2021 | 43 | 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 | 34 | 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), 202, 2022 | 22 | 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 | 22 | 2021 |
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 | 15 | 2021 |
Tracking early mammalian organogenesis–prediction and validation of differentiation trajectories at whole organism scale I Imaz-Rosshandler, C Rode, C Guibentif, LTG Harland, MLN Ton, ... Development 151 (3), dev201867, 2024 | 13 | 2024 |
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 | 12 | 2022 |
Statistical methods for the integrative analysis of single-cell multi-omics data R Argelaguet University of Cambridge, 2020 | 5 | 2020 |
Curated single cell multimodal landmark datasets for R/Bioconductor KB Eckenrode, D Righelli, M Ramos, R Argelaguet, C Vanderaa, ... PLOS Computational Biology 19 (8), e1011324, 2023 | 3 | 2023 |
Eomes directs the formation of spatially and functionally diverse extra-embryonic hematovascular tissues B Theeuwes, LTG Harland, A Bisia, I Costello, ML Ton, T Lohoff, SJ Clark, ... bioRxiv, 2024.08. 13.607790, 2024 | 1 | 2024 |