Visualizing structure and transitions in high-dimensional biological data KR Moon, D van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ... Nature biotechnology 37 (12), 1482-1492, 2019 | 188* | 2019 |
Using long-read sequencing to detect imprinted DNA methylation S Gigante, Q Gouil, A Lucattini, A Keniry, T Beck, M Tinning, L Gordon, ... Nucleic acids research 47 (8), e46-e46, 2019 | 40 | 2019 |
Quantifying the effect of experimental perturbations in single-cell RNA-sequencing data using graph signal processing DB Burkhardt, JS Stanley, AL Perdigoto, SA Gigante, KC Herold, G Wolf, ... bioRxiv, 532846, 2019 | 22* | 2019 |
Visualizing the phate of neural networks S Gigante, AS Charles, S Krishnaswamy, G Mishne arXiv preprint arXiv:1908.02831, 2019 | 5 | 2019 |
Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality S Gigante F1000Research 6, 227, 2017 | 5 | 2017 |
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease M Kuchroo, J Huang, P Wong, JC Grenier, D Shung, A Tong, C Lucas, ... | 3 | 2020 |
Compressed diffusion S Gigante, JS Stanley, N Vu, D van Dijk, KR Moon, G Wolf, ... 2019 13th International conference on Sampling Theory and Applications …, 2019 | 3 | 2019 |
Modeling Global Dynamics from Local Snapshots with Deep Generative Neural Networks S Gigante, D van Dijk, KR Moon, A Strzalkowski, G Wolf, S Krishnaswamy 2019 13th International conference on Sampling Theory and Applications …, 2019 | 2* | 2019 |
In-house training of the nanonet local basecaller: opportunities and challenges S Gigante Oxford Nanopore Technologies, 2017 | 2 | 2017 |
Dataset 1 in: Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality. F1000Research. 2017 S Gigante Data Source, 0 | 2* | |
Author Correction: Visualizing structure and transitions in high-dimensional biological data KR Moon, D van Dijk, Z Wang, S Gigante, DB Burkhardt, WS Chen, K Yim, ... Nature biotechnology 38 (1), 108-108, 2020 | 1 | 2020 |
Harmonic alignment JS Stanley III, S Gigante, G Wolf, S Krishnaswamy Proceedings of the 2020 SIAM International Conference on Data Mining, 316-324, 2020 | 1 | 2020 |
Manifold alignment with feature correspondence JS Stanley III, B Prog, S Gigante, G Wolf, S Krishnaswamy arXiv preprint arXiv:1810.00386, 2019 | 1 | 2019 |
Quantifying the effect of experimental perturbations at single-cell resolution DB Burkhardt, JS Stanley, A Tong, AL Perdigoto, SA Gigante, KC Herold, ... Nature Biotechnology, 1-11, 2021 | | 2021 |
Topological analysis of single-cell data reveals shared glial landscape of macular degeneration and neurodegenerative diseases M Kuchroo, M DiStasio, E Calapkulu, M Ige, L Zhang, AH Sheth, M Menon, ... bioRxiv, 2021 | | 2021 |
Nanopore Technologies datasets without loss of functionality S Gigante | | 2017 |
Can Nanopore Sequencing Change Cancer Diagnostics? C Woodruff, S Gigante, A Lucattini, A Keniry, M Ritchie, T Speed | | |