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	Podcast:		the bioinformatics chat
	Episode:		#36 scVI with Romain Lopez and Gabriel Misrachi
	Category:		Science & Medicine
	Duration:		01:20:08
	Publish Date:		2019-08-30 14:00:00
	Description:		In this episode we hear from Romain Lopez and Gabriel Misrachi about scVI—Single-cell Variational Inference. scVI is a probabilistic model for single-cell gene expression data that combines a hierarchical Bayesian model with deep neural networks encoding the conditional distributions. scVI scales to over one million cells and can be used for scRNA-seq normalization and batch effect removal, dimensionality reduction, visualization, and differential expression. We also discuss the recently implemented in scVI automatic hyperparameter selection via Bayesian optimization. Links: Deep generative modeling for single-cell transcriptomics (Romain Lopez, Jeffrey Regier, Michael Cole, Michael I. Jordan, Nir Yosef) scVI on GitHub Should we zero-inflate scVI? Hyperparameter search for scVI Droplet scRNA-seq is not zero inflated (Valentine Svensson)
	Total Play:		0