Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders

Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders

Single-cell RNA sequencing (RNA-seq) has been demonstrated to be a proven method for quantifying gene-expression heterogeneity and providing insight into the transcriptome at the single-cell level. When combining multiple single-cell transcriptome datasets for analysis, it is common to first correct...

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Bibliographic Details
Main Authors: Xun Wang, Chaogang Zhang, Lulu Wang, Pan Zheng
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:International Journal of Molecular Sciences
Subjects:
scRNA-seq
batch effect
deep learning
adversarial autoencoders
Online Access:https://www.mdpi.com/1422-0067/24/6/5502

Internet

https://www.mdpi.com/1422-0067/24/6/5502

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