A generalization of t-SNE and UMAP to single-cell multimodal omics

Autor: Van Hoan Do, Stefan Canzar
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Genome Biology, Vol 22, Iss 1, Pp 1-9 (2021)
Druh dokumentu: article
ISSN: 1474-760X
DOI: 10.1186/s13059-021-02356-5
Popis: Abstract Emerging single-cell technologies profile multiple types of molecules within individual cells. A fundamental step in the analysis of the produced high-dimensional data is their visualization using dimensionality reduction techniques such as t-SNE and UMAP. We introduce j-SNE and j-UMAP as their natural generalizations to the joint visualization of multimodal omics data. Our approach automatically learns the relative contribution of each modality to a concise representation of cellular identity that promotes discriminative features but suppresses noise. On eight datasets, j-SNE and j-UMAP produce unified embeddings that better agree with known cell types and that harmonize RNA and protein velocity landscapes.
Databáze: Directory of Open Access Journals