Integrative learning of disentangled representations from single-cell RNA-sequencing datasets
Claudio Novella-Rausell, Dorien J.M. Peters, Ahmed Essam Mahfouz
This paper introduces spVIPES, a framework for disentangling shared and private factors of variation in single-cell RNA-seq data, showing improved performance over existing batch correction methods.