Kwame Forbes

University of North Carolina Chapel Hill

Kwame's research focuses on integration of preprocessed single-cell datasets with bulk differential analysis results for DESeq2. His work contributes to bridging single-cell and bulk RNA-seq analysis methods.

Conference

CSHL Biological Data Science 2020

Research Focus

• Single-cell data integration
• Bulk RNA-seq analysis
• DESeq2 methodology
• Differential expression analysis
• Multi-scale genomics
• Computational biology methods