Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data

January 11, 2016 Leave a comment 5,627 Views

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 ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: sampling noise

Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data

Learning to predict RNA sequence expressions from whole slide images

CRIC-seq – global profiling of in-situ RNA–RNA contacts associated with a specific RNA-binding protein

Novel machine-learning algorithm creates atlas of cancer with potential as universal diagnostic platform

Long noncoding RNA profiling may be effective for stratification in pediatric AML

spSeudoMap – cell type mapping of spatial transcriptomics using unmatched single-cell RNA-seq data

SoCube – an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data

Quantabio adds powerful bead booster chemistry to ultra-fast sparQ RNA-Seq HMR kit