DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Abstract Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss functions to learn patterns in the data, al...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-10-01
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Series: | Genome Biology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13059-019-1837-6 |