Single-Cell and Spatial Omics Seminar Series
Multi-sample analysis in single cell RNASeq: Batch correction, annotation, and differential expression
Seminar Series Details:
Presented By:
Nathan Wong (CCBR)
Where:
Online
Organized By:
BTEP
About Nathan Wong (CCBR)
Nathan Wong, Ph.D.
Bioinformatics Analyst
CCR Collaborative Bioinformatics Resource (CCBR)
Frederick National Laboratory for Cancer Research
About this Class
Single cell RNASeq experiments will often include multiple samples with variable conditions. In this seminar, we will explore some of the common practices associated with combining samples to minimize batch effects, identifying cell types present in the data, and characterizing differentially expressed genes that can drive further cell type annotation and analysis for deeper exploration.