A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data

September 18, 2020 Leave a comment 2,134 Views

Gene co-expression networks (GCNs) are powerful tools that enable biologists to examine associations between genes during different biological processes. With the advancement of new technologies, such as...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Bayesian factor model

A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count 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