Michael B. Cole

This paper evaluates normalization methods for scRNA-seq using a framework called scone, showing that top methods improve agreement with validation data.

scVI maps cells into a low-dimensional latent space with variational inference and neural networks, scaling past a million cells while absorbing batch effects and sensitivity differences.