Scott Gigante
Scott Gigante
PhD Student, Computational Biology & Bioinformatics Program, Yale University
Verified email at yale.edu
Title
Cited by
Cited by
Year
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
402019
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
52019
Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality
S Gigante
F1000Research 6, 227, 2017
52017
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, ...
32020
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
32019
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
22017
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
12020
Harmonic alignment
JS Stanley III, S Gigante, G Wolf, S Krishnaswamy
Proceedings of the 2020 SIAM International Conference on Data Mining, 316-324, 2020
12020
Manifold alignment with feature correspondence
JS Stanley III, B Prog, S Gigante, G Wolf, S Krishnaswamy
arXiv preprint arXiv:1810.00386, 2019
12019
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
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Articles 1–17