Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets

Abstract As single-cell sequencing technology became widely used, scientists found that single-modality data alone could not fully meet the research needs of complex biological systems. To address this issue, researchers began simultaneously collect multi-modal single-cell omics data. But different...

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Bibliographic Details
Main Authors: Zihao Wang, Zeyu Wu, Minghua Deng
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Bioinformatics
Subjects:
Mosaic intergrate
Single-cell multimodal
Batch effect
Online Access:https://doi.org/10.1186/s12859-025-06239-5
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https://doi.org/10.1186/s12859-025-06239-5

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