SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data.

SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data.

The single-cell RNA sequencing (scRNA-seq) technologies obtain gene expression at single-cell resolution and provide a tool for exploring cell heterogeneity and cell types. As the low amount of extracted mRNA copies per cell, scRNA-seq data exhibit a large number of dropouts, which hinders the downs...

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Bibliographic Details
Main Authors:	Jing Qi, Yang Zhou, Zicen Zhao, Shuilin Jin
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-06-01
Series:	PLoS Computational Biology
Online Access:	https://doi.org/10.1371/journal.pcbi.1009118

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