Abstract
The paired measurement of multiple modalities, known as the multimodal analysis, is an exciting frontier for connecting single-cell genomics with epitopes and functions. Mapping of transcriptomes in single-cells and the integration with cell phenotypes enable a better understanding of cellular states. However, assembling these paired omics into a unified representation of the cellular state remains challenging with the unique technical characteristics of each measurement. In this study, we built a deep parameter inference model (DPI) based on the properties of single-cell multimodal data. DPI is a complete single-cell multimodal omics analysis framework, which has built in multimodal data preprocessing, multimodal data integration, multimodal data reconstruction, reference and query, disturbance prediction and other analysis functions.
Competing Interest Statement
The authors have declared no competing interest.
