Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss

Abstract Background Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network fram...

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Bibliographic Details
Main Authors: Chaozhong Liu, Linhua Wang, Zhandong Liu
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Bioinformatics
Subjects:
Single-cell sequencing analysis
Data integration
Deep learning
COVID-19
Online Access:https://doi.org/10.1186/s12859-022-05126-7

Internet

https://doi.org/10.1186/s12859-022-05126-7

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