Dynamic visualization of high-dimensional data

Author:

Sun Eric D.ORCID,Ma Rong,Zou JamesORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Reference49 articles.

1. van der Maaten, L. J. P. & Hinton, G. E. Visualizing high-dimensional data using t-SNE. J. Mach. Learn. Res. 9, 2579–2605 (2008).

2. McInnes, L., Healy, J. & Melville, J. UMAP: uniform manifold approximation and projection for dimension reduction. Preprint at http://arxiv.org/abs/1802.03426 (2020).

3. Kobak, D. & Berens, P. The art of using t-SNE for single-cell transcriptomics. Nat. Commun. 10, 5416 (2019).

4. Su, Y., Shi, Q. & Wei, W. Single cell proteomics in biomedicine: high-dimensional data acquisition, visualization, and analysis. Proteomics 17, 1600267 (2017).

5. Diaz-Papkovich, A., Anderson-Trocmé, L. & Gravel, S. A review of UMAP in population genetics. J. Hum. Genet. 66, 85–91 (2021).

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