An integrated transcriptomic cell atlas of human neural organoids Z He, L Dony, JS Fleck, A Szałata, KX Li, I Slišković, HC Lin, M Santel, ... Nature 635 (8039), 690-698, 2024 | 25 | 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 | 24 | 2024 |
Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learning S Dimitrieva, R Janssens, G Li, A Szalata, R Gopalakrishnan, C Parmar, ... Science Advances 11 (3), eadn5596, 2025 | 3 | 2025 |
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 | 3 | 2024 |
A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types A Szałata, A Benz, R Cannoodt, M Cortes, J Fong, S Kuppasani, ... Advances in Neural Information Processing Systems 37, 20566-20616, 2025 | | 2025 |