| Spatial epigenome–transcriptome co-profiling of mammalian tissues D Zhang, Y Deng, P Kukanja, E Agirre, M Bartosovic, M Dong, C Ma, S Ma, ... Nature 616 (7955), 113-122, 2023 | 188 | 2023 |
| Causal identification of single-cell experimental perturbation effects with CINEMA-OT M Dong, B Wang, J Wei, AH de O. Fonseca, CJ Perry, A Frey, F Ouerghi, ... Nature Methods 20 (11), 1769-1779, 2023 | 29 | 2023 |
| Towards Understanding and Reducing Graph Structural Noise for GNNs M Dong, Y Kluger International Conference on Machine Learning, 2023 | 10 | 2023 |
| GEASS: Neural causal feature selection for high-dimensional biological data M Dong, Y Kluger The Eleventh International Conference on Learning Representations, 2023 | 9 | 2023 |
| 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 |
| SIMVI reveals intrinsic and spatial-induced states in spatial omics data M Dong, D Su, H Kluger, R Fan, Y Kluger bioRxiv, 2023.08. 28.554970, 2024 | 4 | 2024 |
| Scaling deep identifiable models enables zero-shot characterization of single-cell biological states M Dong, K Agrawal, R Fan, E Sefik, RA Flavell, Y Kluger bioRxiv, 2024 | | 2024 |
