A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

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Single cell RNA sequencing (scRNA-Seq) is being widely used in biomedical research and generated enormous volume and diversity of data. The raw data contain multiple types of noise and technical artifacts, which need thorough cleaning. Existing denoising and imputation methods largely focus on a sin...

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Bibliographic Details
Main Authors:	Brouwer, C.R (Author), Li, H. (Author), Luo, W. (Author)
Format:	Article
Language:	English
Published:	Nature Research 2022
Subjects:	Agnostic article artifact artificial neural network autoencoder cell component classifier cleaning data analysis data set deep neural network differential expression analysis human noise noise reduction research RNA single cell RNA seq
Online Access:	View Fulltext in Publisher

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