Beyond comparisons of means: understanding changes in gene expression at the single-cell level

April 21, 2016 Leave a comment 2,863 Views

Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by single-cell level data sets. Researchers at the Cambridge Institute of Public Health have devloped a Bayesian hierarchical model that ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Cambridge Institute of Public Health

Beyond comparisons of means: understanding changes in gene expression at the single-cell level

First single-cell atlas of the human eye constructed

Representation learning of RNA velocity reveals robust cell transitions

A 3’-end capture sequencing method for high-throughput targeted gene expression profiling

Effects of Key RNA-sequencing Technical Elements on Toxicity Assessment using Three Biological Replicates

RNA-Scoop – interactive visualization of transcripts in single-cell transcriptomes

SCHNAPPs – Single Cell sHiNy APPlication(s)

CircAID-p-seq – a PCR-free library preparation for selective 3′ phospho-RNA sequencing