A mixture-of-experts deep generative model for integrated analysis of single-cell multiomics data

• Published in: Cell reports methods Vol. 1; no. 5; p. 100071
• Main Authors: Minoura, Kodai, Abe, Ko, Nam, Hyunha, Nishikawa, Hiroyoshi, Shimamura, Teppei
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 27.09.2021; Elsevier
• Subjects: deep generative model; dimensionality reduction; multimodal data integration; multimodal prediction; single-cell multiomics; dimensionality reduction; multimodal data integration; single-cell multiomics; deep generative model; multimodal prediction

The recent development of single-cell multiomics analysis has enabled simultaneous detection of multiple traits at the single-cell level, providing deeper insights into cellular phenotypes and functions in diverse tissues. However, currently, it is challenging to infer the joint representations and...