MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

Abstract Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include mul...

Full description

Bibliographic Details
Main Authors: Ricard Argelaguet, Damien Arnol, Danila Bredikhin, Yonatan Deloro, Britta Velten, John C. Marioni, Oliver Stegle
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Genome Biology
Subjects:
Single cell
Multi-omics
Data integration
Factor analysis
Online Access:http://link.springer.com/article/10.1186/s13059-020-02015-1

Internet

http://link.springer.com/article/10.1186/s13059-020-02015-1

Similar Items