Single Cell RNA-seq Differential Expression Analysis

We improved voom in single cell RNA-seq differential expression analysis in order to make use of numerous advanced genomic analysis packages while obtaining comparative accuracy as edgeR. Using simulation study, we found that edgeR, ZINB-WaVE edgeR, voom and ZINB-WaVE voom rank differently in UMI and non-UMI datasets for single cell RNA-seq differential expression analysis. We explored the reasons that caused ZINB-WaVE voom underperformed ZINB-WaVE edgeR and improved the downstream analysis of ZINB-WaVE voom to improve the performance in single cell RNA-seq analysis.

Author

• Wang, Yi

Language

• en

Keyword

• ZINB-WaVE
• voom
• edgeR
• single cell RNA-seq
• statistical genomics

Date created

• 2019

Type of Work

• Master's Thesis

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Statistics

Degree

• M.S.

Advisor

• Pan, Qing
• Hansen, Kasper D

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/j67314445