linemodels: clustering effects based on linear relationships
Matti Pirinen
Abstract
SUMMARY: Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering of variables based on their observed effect sizes on two outcomes. AVAILABILITY AND IMPLEMENTATION: An open source implementation in R available at github.com/mjpirinen/linemodels.
Topics & Concepts
Cluster analysisComputer scienceArtificial intelligenceData Visualization and AnalyticsData Management and Algorithms