| Quantification of tumor heterogeneity: from data acquisition to metric generation A Kashyap, MA Rapsomaniki, V Barros, A Fomitcheva-Khartchenko, ... Trends in Biotechnology 40 (6), 647-676, 2022 | 46 | 2022 |
| ATHENA: analysis of tumor heterogeneity from spatial omics measurements AL Martinelli, MA Rapsomaniki Bioinformatics 38 (11), 3151-3153, 2022 | 13 | 2022 |
| Matching single cells across modalities with contrastive learning and optimal transport F Gossi, P Pati, P Chouvardas, AL Martinelli, M Kruithof-de Julio, ... Briefings in bioinformatics 24 (3), bbad130, 2023 | 8 | 2023 |
| scQUEST: Quantifying tumor ecosystem heterogeneity from mass or flow cytometry data AL Martinelli, J Wagner, B Bodenmiller, MA Rapsomaniki STAR protocols 3 (3), 101578, 2022 | 1 | 2022 |
| Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictions MA Rapsomaniki, P Pati, S Karkampouna, F Bonollo, E Comperat, ... | | 2023 |
| Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictions P Pati, S Karkampouna, F Bonollo, E Comperat, M Radic, M Spahn, ... bioRxiv, 2023.11. 29.568996, 2023 | | 2023 |
| MatchCLOT: Single-Cell Modality Matching with Contrastive Learning and Optimal Transport F Gossi, P Pati, A Martinelli, MA Rapsomaniki bioRxiv, 2022.11. 16.516751, 2022 | | 2022 |
| ChromFormer: A transformer-based model for 3D genome structure prediction H Valeyre, P Pati, F Gossi, VR Somnath, A Martinelli, MA Rapsomaniki bioRxiv, 2022.11. 15.516571, 2022 | | 2022 |
