• ScVAE: Variational auto-encoders for single-cell gene expression data

    15 days ago - By Oxford Journals

    AbstractMotivationModels for analysing and making relevant biological inferences from massive amounts of complex single-cell transcriptomic data typically require several individual data-processing steps, each with their own set of hyperparameter choices. With deep generative models one can work directly with count data, make likelihood-based model comparison, learn a latent representation of the cells and capture more of the variability in different cell populations.ResultsWe propose a novel method based on variational auto-encoders for analysis of single-cell RNA sequencing data. It...
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