Clustering of single-cell multi-omics data with a multimodal deep learning method

oleh: Xiang Lin, Tian Tian, Zhi Wei, Hakon Hakonarson

Format: Article
Diterbitkan: Nature Portfolio 2022-12-01

Deskripsi

Single-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. Here the authors develops a multimodal deep clustering method for the analysis of single-cell multi-omics data that supports clustering different types of multi-omics data and multi-batch data, as well as downstream differential expression analysis.