Clustering data with heatmap algorithm for Validating Quantitative Untargeted Lipidomics Across Nine Liquid Chromatography−High-Resolution Mass Spectrometry Platforms (Part I) (Study ST000983)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment


The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1Collection Time (hours):0-h | Phenotype:CF
F2Collection Time (hours):0-h | Phenotype:GF
F3Collection Time (hours):2-h | Phenotype:CF
F4Collection Time (hours):2-h | Phenotype:GF
F5Collection Time (hours):4-h | Phenotype:CF
F6Collection Time (hours):4-h | Phenotype:GF
F7Collection Time (hours):NIST | Phenotype:NIST
F8Collection Time (hours):QC | Phenotype:QC
F9Collection Time (hours):Rep | Phenotype:Rep
Data matrix
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