Out-of-distribution prediction with disentangled representations for single-cell RNA sequencing data
Mohammad Lotfollahi, Leander Dony, Harshita Agarwala, Fabian Joachim Theis
The paper uses β-VAE to learn disentangled representations for scRNA-seq data and shows improved out-of-distribution prediction compared to existing methods.
bioRxiv · Sep 1, 2021 · PreprintBioinformatics