#36 scVI with Romain Lopez and Gabriel Misrachi скачать в хорошем качестве

#36 scVI with Romain Lopez and Gabriel Misrachi

In this episode, we hear from Romain Lopez (https://people.eecs.berkeley.edu/~rom...) and Gabriel Misrachi (  / 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 (https://rdcu.be/bdHYQ) (Romain Lopez, Jeffrey Regier, Michael Cole, Michael I. Jordan, Nir Yosef) • scVI on GitHub (https://github.com/YosefLab/scVI) • Should we zero-inflate scVI? (https://yoseflab.github.io/2019/06/25...) • Hyperparameter search for scVI (https://yoseflab.github.io/2019/07/05...) • Droplet scRNA-seq is not zero inflated (Valentine Svensson) (http://www.nxn.se/valent/2017/11/16/d...) If you enjoyed this episode, please consider supporting the podcast on Patreon (  / bioinfochat  ) .