Removing technical noise from single cell RNA-Seq data

March 3, 2015 Leave a comment 8,567 Views

Single-cell RNA-seq is a promising technology with broad applications and discerning biological noise from technical noise is critical for correctly interpreting the data (Jaitin, et al., 2014). Recently, statistical methods are developed to model the technical noise from spike-in ERCC ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: gamma regression model

Removing technical noise from single cell RNA-Seq data

Using single-cell RNA sequencing to disentangle the blood system

Arriba – accurate and efficient detection of gene fusions from RNA sequencing data

MSRG – new database of mosquito small RNA transcriptomes

Single-cell RNA sequencing reveals SARS-CoV-2 infection dynamics in the lungs

Genuity Science wins 2021 BIG Innovation Award for novel approach to analysis of single-cell RNA sequencing data

CLInt-Seq – a method to more efficiently isolate and identify rare T cells

Response to infection therapy better understood thanks to a new sequencing technique