| 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 | 994 | 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 | 586 | 2020 |
| Modeling cell-cell interactions from spatial molecular data with spatial variance component analysis D Arnol, D Schapiro, B Bodenmiller, J Saez-Rodriguez, O Stegle Cell reports 29 (1), 202-211. e6, 2019 | 177 | 2019 |
| 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 | 128 | 2022 |
| Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects E Gonçalves, FM Behan, S Louzada, D Arnol, EA Stronach, F Yang, ... Genome biology 20, 1-10, 2019 | 41 | 2019 |
| Coupled Motions in β2AR:Gαs Conformational Ensembles DV Pachov, R Fonseca, D Arnol, J Bernauer, H van den Bedem Journal of Chemical Theory and Computation 12 (3), 946-956, 2016 | 13 | 2016 |
| Multi-Omics factor analysis disentangles heterogeneity in blood cancer R Argelaguet, B Velten, D Arnol, S Dietrich, T Zenz, JC Marioni, F Buettner, ... BioRxiv, 217554, 2017 | 9 | 2017 |
| Modelling cell-cell interactions from spatial molecular data with spatial variance component analysis. bioRxiv. 2018265256 D Arnol, D Schapiro, B Bodenmiller, J Saez-Rodriguez, O Stegle | 5 | 2019 |
| Tandem duplications lead to loss of fitness effects in CRISPR-Cas9 data E Gonçalves, FM Behan, S Louzada, D Arnol, E Stronach, F Yang, K Yusa, ... BioRxiv, 325076, 2018 | 2 | 2018 |
| Identifying the Potential Mechanism of Action of SNPs Associated With Breast Cancer Susceptibility With GVITamIN A Nguyen, P Nicoletti, D Arnol, A Califano, M Rodriguez Martinez Frontiers in bioengineering and biotechnology 8, 798, 2020 | 1 | 2020 |
| Appendix for 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, ... | | 2020 |
| Statistical Methods for the Analysis of Contextual Gene Expression Data D Arnol | | 2019 |
