Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments.

ABSTRACT:

Background

High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns. Identifying dynamic changes at both the individual gene and whole transcriptome level can provide important insights about genes, pathways, and critical time points.

Results

We present an R package, Trendy, which utilizes segmented regression models to simultaneously characterize each gene's expression pattern and summarize overall dynamic activity in ordered condition experiments. For each gene, Trendy finds the optimal segmented regression model and provides the location and direction of dynamic changes in expression. We demonstrate the utility of Trendy to prov

SUBMITTER: Bacher R 

PROVIDER: S-EPMC6192113 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature