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...

Full description

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

Internet

https://doi.org/10.1186/s13578-022-00886-4

Similar Items