Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data

Abstract Single-cell RNA-sequencing technology (scRNA-seq) brings research to single-cell resolution. However, a major drawback of scRNA-seq is large sparsity, i.e. expressed genes with no reads due to technical noise or limited sequence depth during the scRNA-seq protocol. This phenomenon is also c...

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Bibliographic Details
Published in:	Briefings in bioinformatics Vol. 24; no. 1
Main Authors:	Chen, Siqi, Yan, Xuhua, Zheng, Ruiqing, Li, Min
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 19.01.2023 Oxford Publishing Limited (England)
Subjects:	Bubble memory devices Clustering Coefficient of variation Constraints Deep learning Gene expression Gene Expression Profiling - methods Gene sequencing Genes Identification methods Ribonucleic acid RNA RNA-Seq Sequence Analysis, RNA - methods Single-Cell Analysis - methods Single-Cell Gene Expression Analysis Software Subpopulations Visualization dropouts single-cell RNA-seq autoencoder imputation bulk RNA-seq
ISSN:	1467-5463, 1477-4054, 1477-4054
Online Access:	Get full text
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