| Causal machine learning for single-cell genomics A Tejada-Lapuerta, P Bertin, S Bauer, H Aliee, Y Bengio, FJ Theis arXiv preprint arXiv:2310.14935, 2023 | 10 | 2023 |
| Nicheformer: a foundation model for single-cell and spatial omics AC Schaar, A Tejada-Lapuerta, G Palla, R Gutgesell, L Halle, M Minaeva, ... bioRxiv, 2024.04. 15.589472, 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 | 1 | 2023 |
| Scalable and universal prediction of cellular phenotypes Y Ji, A Tejada-Lapuerta, NA Schmacke, Z Zheng, X Zhang, S Khan, ... bioRxiv, 2024.08. 12.607533, 2024 | | 2024 |
| 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 | | 2024 |
| Predicting single-cell perturbations response with prior biological knowledge graphs A Tejada Lapuerta Universitat Politècnica de Catalunya, 2022 | | 2022 |
