Tag Archives: generalized linear model

A team led by researchers at the National Heart Lung and Blood Institute sequenced over 700 individuals from the Drosophila Genetic Reference Panel with the goal of identifying the optimal analysis approach for the detection of differential gene expression among ...

Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal expression distributions in which expression is either strongly non-zero or non-detectable. Researchers at the Fred Hutchinson Cancer Research Center propose a two-part, generalized linear model for ...

High-throughput sequencing is now regularly used for studies of the transcriptome (RNA-seq), particularly for comparisons among experimental conditions. For the time being, a limited number of biological replicates are typically considered in such experiments, leading to low detection power for ...