lab-conrad / resVAE Public

resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially using single-cell RNA sequencing. In principle it can be used with any hierarchically structured data though, so feel free to play around with it.

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resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially using single-cell RNA sequencing. In principle it can be used with any hierarchically structured data though, so feel free to play around with it.

gene-sets gene-expression single-cell single-cell-rna-seq single-cell-analysis single-cell-omics single-cell-sequencing nature-machine-intelligence

GPL-3.0, GPL-3.0 licenses found

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