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Variational Autoencoders for Modeling Single-Cell Data
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This is the first of a series of tutorials presenting variational autoencoders (VAEs) to an audience of bioinformaticians. This post discusses the motivation behind VAEs and their mathematical basis within the context of modeling single-cell data. A following tutorial will cover the implementation of a simple VAE for modeling single-cell RNA sequencing (sc-RNA-seq) counts as an example.