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  "Title": "Generating Samples of Gene Expression Data with Variational\nAutoencoders",
  "Description": "A fundamental problem in biomedical research is the low\nnumber of observations, mostly due to a lack of available\nbiosamples, prohibitive costs, or ethical reasons. By\naugmenting a few real observations with artificially generated\nsamples, their analysis could lead to more robust and higher\nreproducible. One possible solution to the problem is the use\nof generative models, which are statistical models of data that\nattempt to capture the entire probability distribution from the\nobservations. Using the variational autoencoder (VAE), a\nwell-known deep generative model, this package is aimed to\ngenerate samples with gene expression data, especially for\nsingle-cell RNA-seq data. Furthermore, the VAE can use\nconditioning to produce specific cell types or subpopulations.\nThe conditional VAE (CVAE) allows us to create targeted samples\nrather than completely random ones.",
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