Best practices for single-cell analysis across modalities L Heumos, AC Schaar, C Lance, A Litinetskaya, F Drost, L Zappia, ... Nature Reviews Genetics 24 (8), 550-572, 2023 | 322 | 2023 |
Mapping cells through time and space with moscot D Klein, G Palla, M Lange, M Klein, Z Piran, M Gander, ... bioRxiv, 2023.05. 11.540374, 2023 | 19 | 2023 |
The dual information bottleneck Z Piran, R Shwartz-Ziv, N Tishby arXiv preprint arXiv:2006.04641, 2020 | 19 | 2020 |
The origin of binary black hole mergers Z Piran, T Piran The Astrophysical Journal 892 (1), 64, 2020 | 16 | 2020 |
Disentanglement of single-cell data with biolord Z Piran, N Cohen, Y Hoshen, M Nitzan Nature Biotechnology, 1-6, 2024 | 9* | 2024 |
Mapping lineage-traced cells across time points with moslin M Lange, Z Piran, M Klein, B Spanjaard, D Klein, JP Junker, FJ Theis, ... bioRxiv, 2023.04. 14.536867, 2023 | 3 | 2023 |
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network M Ricci, N Moriel, Z Piran, M Nitzan arXiv preprint arXiv:2212.03857, 2022 | 3 | 2022 |
SiFT: uncovering hidden biological processes by probabilistic filtering of single-cell data Z Piran, M Nitzan Nature Communications 15 (1), 760, 2024 | 1 | 2024 |
Contrasting Multiple Representations with the Multi-Marginal Matching Gap Z Piran, M Klein, J Thornton, M Cuturi arXiv preprint arXiv:2405.19532, 2024 | | 2024 |
Identifying maximally informative signal-aware representations of single-cell data using the Information Bottleneck S Dubnov, Z Piran, H Soreq, M Nitzan bioRxiv, 2024.05. 22.595292, 2024 | | 2024 |
Self-Supervised Learning with the Matching Gap Z Piran, M Klein, J Ramapuram, D Busbridge, S Villar, A Joulin | | |