Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays

Volume: 6, Issue: 1
Published: Jan 24, 2010
Abstract
We propose statistical methods for comparing phenomics data generated by the Biolog Phenotype Microarray (PM) platform for high-throughput phenotyping. Instead of the routinely used visual inspection of data with no sound inferential basis, we develop two approaches. The first approach is based on quantifying the distance between mean or median curves from two treatments and then applying a permutation test; we also consider a permutation test...
Paper Details
Title
Statistical Methods for Comparative Phenomics Using High-Throughput Phenotype Microarrays
Published Date
Jan 24, 2010
Volume
6
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.