Evaluating imputation methods for single-cell RNA-seq data

Evaluating imputation methods for single-cell RNA-seq data

Abstract Background Single-cell RNA sequencing (scRNA-seq) enables the high-throughput profiling of gene expression at the single-cell level. However, overwhelming dropouts within data may obscure meaningful biological signals. Various imputation methods have recently been developed to address this...

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Bibliographic Details
Main Authors: Yi Cheng, Xiuli Ma, Lang Yuan, Zhaoguo Sun, Pingzhang Wang
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Bioinformatics
Subjects:
Single cell
scRNA-seq
Imputation
Clustering
Online Access:https://doi.org/10.1186/s12859-023-05417-7

Internet

https://doi.org/10.1186/s12859-023-05417-7

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