M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data

M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data

Abstract Background Various statistical models have been developed to model the single cell RNA-seq expression profiles, capture its multimodality, and conduct differential gene expression test. However, for expression data generated by different experimental design and platforms, there is currently...

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Bibliographic Details
Main Authors: Yu Zhang, Changlin Wan, Pengcheng Wang, Wennan Chang, Yan Huo, Jian Chen, Qin Ma, Sha Cao, Chi Zhang
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Bioinformatics
Subjects:
Single cell RNA-seq
Multimodality
Differential gene expression analysis
Drop-seq
Left truncated mixture Gaussian
Online Access:https://doi.org/10.1186/s12859-019-3243-1

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