CYCLONE: recycle contrastive learning for integrating single-cell gene expression data

CYCLONE: recycle contrastive learning for integrating single-cell gene expression data

Abstract Background Combining single-cell transcriptome sequencing results from several batches reduces batch effect, which improves our understanding of cellular identity and function. Results This paper introduces CYCLONE, a new method for integrating single-cell gene expression data using a recyc...

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Bibliographic Details
Main Authors: Han Ji, Xinwei He, Hongwei Li
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Subjects:
scRNA-seq
Batch effect
Integration
Recycle contrastive learning
Online Access:https://doi.org/10.1186/s12859-025-06214-0
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https://doi.org/10.1186/s12859-025-06214-0

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