IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

There is a strong need to eliminate batch-specific differences when integrating single-cell RNA-sequencing (scRNA-seq) datasets generated under different experimental conditions for downstream task analysis. Existing batch correction methods usually transform different batches of cells into one pres...

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Bibliographic Details
Main Authors: Xun Wang, Chaogang Zhang, Ying Zhang, Xiangyu Meng, Zhiyuan Zhang, Xin Shi, Tao Song
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:International Journal of Molecular Sciences
Subjects:
scRNA-seq
batch effect
connected graphs
deep learning
GAN
Online Access:https://www.mdpi.com/1422-0067/23/4/2082

Internet

https://www.mdpi.com/1422-0067/23/4/2082

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