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...
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: | |
Online Access: | https://doi.org/10.1186/s12859-019-3243-1 |
Similar Items
-
The effect of methanol fixation on single-cell RNA sequencing data
by: Xinlei Wang, et al.
Published: (2021-06-01) -
scAPAmod: Profiling Alternative Polyadenylation Modalities in Single Cells from Single-Cell RNA-Seq Data
by: Lingwu Qian, et al.
Published: (2022-07-01) -
Supplemental Tables for Comprehensive single-cell transcriptional profiling of the regenerative planarian Schmidtea mediterranea
by: Fincher, Christopher T., et al.
Published: (2020) -
Recommendations of scRNA-seq Differential Gene Expression Analysis Based on Comprehensive Benchmarking
by: Jake Gagnon, et al.
Published: (2022-06-01) -
Improved protocol for single-nucleus RNA-sequencing of frozen human bladder tumor biopsies
by: Sofie S. Schmøkel, et al.
Published: (2023-12-01)