Strategy for minimizing between-study variation of large-scale phenotypic experiments using multivariate analysis.

Abstract excerpt

We have developed a multistep strategy that integrates data from several large-scale experiments that suffer from systematic between-experiment variation. This strategy removes such variation that would otherwise mask differences of interest. It was applied to the evaluation of wood chemical analysis of 736 hybrid aspen trees: wild-type controls and transgenic trees potentially involved in wood formation. The...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Discriminant Analysis
• Share to Gas Chromatography-Mass Spectrometry