| Best practices for single-cell analysis across modalities L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ... Nature Reviews Genetics 24 (8), 550-572, 2023 | 341 | 2023 |
| A blood atlas of COVID-19 defines hallmarks of disease severity and specificity COMBATC Consortium, DJ Ahern, Z Ai, M Ainsworth, C Allan, A Allcock, ... Cell, 2021.05. 11.21256877, 2021 | 184* | 2021 |
| An immunodominant NP105–113-B*07:02 cytotoxic T cell response controls viral replication and is associated with less severe COVID-19 disease Y Peng, SL Felce, D Dong, F Penkava, AJ Mentzer, X Yao, G Liu, Z Yin, ... Nature immunology 23 (1), 50-61, 2022 | 146 | 2022 |
| Rhodopsin targeted transcriptional silencing by DNA-binding S Botta, E Marrocco, N de Prisco, F Curion, M Renda, M Sofia, M Lupo, ... Elife 5, e12242, 2016 | 47 | 2016 |
| High-resolution transcriptional landscape of xeno-free human induced pluripotent stem cell-derived cerebellar organoids S Nayler, D Agarwal, F Curion, R Bowden, EBE Becker Scientific Reports 11 (1), 12959, 2021 | 45 | 2021 |
| Targeted single-cell RNA sequencing of transcription factors enhances the identification of cell types and trajectories A Pokhilko, AE Handel, F Curion, V Volpato, ES Whiteley, S Bøstrand, ... Genome Research 31 (6), 1069-1081, 2021 | 25 | 2021 |
| Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19 CP Kotanidis, C Xie, D Alexander, JCL Rodrigues, K Burnham, A Mentzer, ... The Lancet Digital Health 4 (10), e705-e716, 2022 | 19 | 2022 |
| Targeted RNA sequencing enhances gene expression profiling of ultra-low input samples F Curion, AE Handel, M Attar, G Gallone, R Bowden, MZ Cader, MB Clark RNA biology 17 (12), 1741-1753, 2020 | 15 | 2020 |
| Targeting and silencing of rhodopsin by ectopic expression of the transcription factor KLF15 S Botta, N de Prisco, E Marrocco, M Renda, M Sofia, F Curion, ML Bacci, ... JCI insight 2 (24), 2017 | 13 | 2017 |
| Single-cell sequencing of human iPSC-derived cerebellar organoids shows recapitulation of cerebellar development S Nayler, D Agarwal, F Curion, R Bowden, EBE Becker bioRxiv, 2020.07. 01.182196, 2020 | 7 | 2020 |
| Panpipes: a pipeline for multiomic single-cell data analysis C Rich-Griffin, F Curion, T Thomas, D Agarwal, FJ Theis, CA Dendrou bioRxiv, 2023.03. 11.532085, 2023 | 6 | 2023 |
| Single-cell Best Practices C., Schiller HB, and Theis FJ. 2023 L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ... Best practices for single-cell analysis across modalities. Nat Rev Genet 24 …, 0 | 5 | |
| Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis F Curion, C Rich-Griffin, D Agarwal, S Ouologuem, K Rue-Albrecht, L May, ... Genome Biology 25 (1), 181, 2024 | 1 | 2024 |
| hadge: a comprehensive pipeline for donor deconvolution in single-cell studies F Curion, X Wu, L Heumos, MMG André, L Halle, M Ozols, M Grant-Peters, ... Genome Biology 25 (1), 109, 2024 | 1 | 2024 |
| Machine learning integrative approaches to advance computational immunology F Curion, FJ Theis Genome Medicine 16, 2024 | 1 | 2024 |
| hadge: a comprehensive pipeline for donor deconvolution in single cell F Curion, X Wu, L Heumos, M Gonzales, L Halle, M Grant-Peters, ... bioRxiv, 2023.07. 23.550061, 2023 | 1 | 2023 |
| Identification of cell types, states and programs by learning gene set representations S Hediyeh-zadeh, HJ Whitfield, M Kharbanda, F Curion, DD Bhuva, ... BioRxiv, 2023.09. 08.556842, 2023 | 1 | 2023 |
| 762–Analysis of Liver Infiltrating Lymphocytes in Primary Sclerosing Cholangitis by Surface Antigen and Single Cell Rnaseq KD Lynch, F Curion, HY Yeung, E Fryer, H Ferry, M Attar, H Slawinski, ... Gastroenterology 156 (6), S-1212, 2019 | 1 | 2019 |
| PS-127-Analysis of liver infiltrating lymphocytes in primary sclerosing cholangitis by surface antigen and single cell RNAseq K Lynch, F Curion, HY Yeung, E Fryer, A Slater, H Ferry, M Attar, ... Journal of Hepatology 70 (1), e78-e79, 2019 | 1 | 2019 |
| Multimodal weakly supervised learning to identify disease-specific changes in single-cell atlases A Litinetskaya, M Shulman, S Hediyeh-zadeh, AA Moinfar, F Curion, ... bioRxiv, 2024.07. 29.605625, 2024 | | 2024 |
