| Biologically informed deep learning to query gene programs in single-cell atlases M Lotfollahi, S Rybakov, K Hrovatin, S Hediyeh-Zadeh, C Talavera-López, ... Nature Cell Biology 25 (2), 337-350, 2023 | 73 | 2023 |
| Classification of miRNA-related sequence variations K Hrovatin, T Kunej Epigenomics 10 (4), 463-481, 2018 | 48 | 2018 |
| Toward modeling metabolic state from single-cell transcriptomics K Hrovatin, DS Fischer, FJ Theis Molecular Metabolism 57, 101396, 2022 | 46 | 2022 |
| Delineating mouse β-cell identity during lifetime and in diabetes with a single cell atlas K Hrovatin, A Bastidas-Ponce, M Bakhti, L Zappia, M Büttner, C Salinno, ... Nature metabolism 5 (9), 1615-1637, 2023 | 34 | 2023 |
| Genetic variability of serotonin pathway associated with schizophrenia onset, progression, and treatment K Hrovatin, T Kunej, V Dolžan American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 183 …, 2020 | 27 | 2020 |
| Genetic sex determination assays in 53 mammalian species: Literature analysis and guidelines for reporting standardization K Hrovatin, T Kunej Ecology and Evolution 8 (2), 1009-1018, 2018 | 25 | 2018 |
| Transformers in single-cell omics: a review and new perspectives A Szałata, K Hrovatin, S Becker, A Tejada-Lapuerta, H Cui, B Wang, ... Nature methods 21 (8), 1430-1443, 2024 | 23 | 2024 |
| Transcriptional milestones in Dictyostelium development M Katoh-Kurasawa, K Hrovatin, S Hirose, A Webb, HI Ho, B Zupan, ... Genome research 31 (8), 1498-1511, 2021 | 22 | 2021 |
| Classification of heterogeneous genetic variations of microRNA regulome in cancer K Hrovatin, T Kunej Cancer letters 419, 128-138, 2018 | 10 | 2018 |
| Bio-based methods with potentials for application in wooden furniture industry K Hrovatin, J Hrovatin Drvna industrija 71 (3), 301-308, 2020 | 6 | 2020 |
| Pertpy: an end-to-end framework for perturbation analysis L Heumos, Y Ji, L May, T Green, X Zhang, X Wu, J Ostner, S Peidli, ... bioRxiv, 2024.08. 04.606516, 2024 | 5 | 2024 |
| Integrating single-cell RNA-seq datasets with substantial batch effects K Hrovatin, AA Moinfar, L Zappia, AT Lapuerta, B Lengerich, M Kellis, ... bioRxiv, 2023.11. 03.565463, 2024 | 5 | 2024 |
| GraphCompass: Spatial metrics for differential analyses of cell organization across conditions M Ali, M Kuijs, S Hediyeh-zadeh, T Treis, K Hrovatin, G Palla, AC Schaar, ... bioRxiv, 2024.02. 02.578605, 2024 | 4 | 2024 |
| Optimal distance metrics for single-cell RNA-seq populations Y Ji, TD Green, S Peidli, M Bahrami, M Liu, L Zappia, K Hrovatin, ... bioRxiv, 2023.12. 26.572833, 2023 | 4 | 2023 |
| A multimodal cross-species comparison of pancreas development H Lickert, K Yang, H Spitzer, M Sterr, K Hrovatin, X Zhang, E Setyono, ... | 3 | 2024 |
| Considerations for building and using integrated single-cell atlases K Hrovatin, L Sikkema, VA Shitov, G Heimberg, M Shulman, AJ Oliver, ... Nature Methods, 1-17, 2024 | 2 | 2024 |
| Multi-omics characterization of type 2 diabetes associated genetic variation R Mandla, K Lorenz, X Yin, O Bocher, A Huerta-Chagoya, AL Arruda, ... medRxiv, 2024 | 2 | 2024 |
| ProCyon: A multimodal foundation model for protein phenotypes O Queen, Y Huang, R Calef, V Giunchiglia, T Chen, G Dasoulas, LA Tai, ... bioRxiv, 2024.12. 10.627665, 2024 | | 2024 |
| An integrated single-cell islet atlas in health and disease K Hrovatin, H Lickert Nature 5, 1459-1460, 2023 | | 2023 |
