| 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 | 816* | 2019 |
| Enhancing experimental signals in single-cell RNA-sequencing data using graph signal processing DB Burkhardt, JS Stanley III, AL Perdigoto, SA Gigante, KC Herold, G Wolf, ... | 147* | 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 | 97 | 2019 |
| Multiscale PHATE identifies multimodal signatures of COVID-19 M Kuchroo, J Huang, P Wong, JC Grenier, D Shung, A Tong, C Lucas, ... Nature biotechnology 40 (5), 681-691, 2022 | 57* | 2022 |
| Visualizing the phate of neural networks S Gigante, AS Charles, S Krishnaswamy, G Mishne Advances in neural information processing systems 32, 2019 | 26 | 2019 |
| Harmonic alignment JS Stanley III, S Gigante, G Wolf, S Krishnaswamy Proceedings of the 2020 SIAM International Conference on Data Mining, 316-324, 2020 | 15 | 2020 |
| Single-cell analysis reveals inflammatory interactions driving macular degeneration M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang, M Ige, AH Sheth, ... Nature Communications 14 (1), 2589, 2023 | 14 | 2023 |
| Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality S Gigante F1000Research 6, 227, 2017 | 9 | 2017 |
| Integrated transcriptome and trajectory analysis of cutaneous T-cell lymphoma identifies putative precancer populations J Ren, R Qu, NT Rahman, JM Lewis, ALO King, X Liao, FN Mirza, ... Blood Advances 7 (3), 445-457, 2023 | 8 | 2023 |
| 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 | 7 | 2020 |
| An environmentally responsive transcriptional state modulates cell identities during root development M Oliva, T Stuart, D Tang, J Pflueger, D Poppe, JS Jabbari, S Gigante, ... bioRxiv, 2022.03. 04.483008, 2022 | 6 | 2022 |
| 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, 2021.01. 19.427286, 2021 | 6 | 2021 |
| 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 | 6 | 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 | 5* | 2019 |
| Manifold alignment with feature correspondence JS Stanley III, G Wolf, S Krishnaswamy arXiv preprint arXiv:1810.00386, 2019 | 3 | 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* | |
| SystemMatch: optimizing preclinical drug models to human clinical outcomes via generative latent-space matching S Gigante, VG Raghavan, AM Robinson, RA Barton, AH Rahman, ... arXiv preprint arXiv:2205.07110, 2022 | 1 | 2022 |
| Diffusion-based Approaches to Visualization and Exploration of High-Dimensional Data SA Gigante Yale University, 2021 | 1 | 2021 |
| Defining and benchmarking open problems in single-cell analysis M Luecken, S Gigante, D Burkhardt, R Cannoodt, D Strobl, N Markov, ... | | 2024 |
Smita KrishnaswamyYale UniversityVerified email at yale.edu
