scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information

scMTD: a statistical multidimensional imputation method for single-cell RNA-seq data leveraging transcriptome dynamic information

Abstract Background Single-cell RNA sequencing (scRNA-seq) provides a powerful tool to capture transcriptomes at single-cell resolution. However, dropout events distort the gene expression levels and underlying biological signals, misleading the downstream analysis of scRNA-seq data. Results We deve...

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Bibliographic Details
Main Authors:	Jing Qi, Qiongyu Sheng, Yang Zhou, Jiao Hua, Shutong Xiao, Shuilin Jin
Format:	Article
Language:	English
Published:	BMC 2022-09-01
Series:	Cell & Bioscience
Subjects:	Single-cell RNA-seq Multidimensional information Transcriptome dynamic Cell-level Gene-level
Online Access:	https://doi.org/10.1186/s13578-022-00886-4

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