Single-cell RNA sequencing (scRNA-seq) is an increasingly popular platform to study heterogeneity at the single cell level. Computational methods to process scRNA-seq have limited accessibility to bench scientists, as they require significant amount of bioinformatics skills. Researchers from the University of ...
Read More »Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data
Researchers from the the Georgia Institute of Technology compare methods for filtering RNA-seq low expression genes and investigate the effect of filtering on detection of differentially expressed genes (DEGs). Although RNA-seq technology has improved the dynamic range of gene expression ...
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