Genome Biology

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

Publishing date: 2019-11-14 Published on: Genome Biology summary: Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. The authors present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, allowing for accurate imputation.