scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data

scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data

Abstract scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method for data integration that can incorp...

Full description

Bibliographic Details
Main Authors: Nelson Johansen, Gerald Quon
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Genome Biology
Subjects:
scRNA-seq
Data integration
Data harmonization
Alignment
Deep learning
Neural networks
Online Access:http://link.springer.com/article/10.1186/s13059-019-1766-4

Internet

http://link.springer.com/article/10.1186/s13059-019-1766-4

Similar Items