Metabolomics Workbench : NIH Data Repository

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Clustering data with heatmap algorithm for (Study ST004096)

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:

F1	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin + \| DAY:15
F2	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin - \| DAY:15
F3	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin + \| DAY:20
F4	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin - \| DAY:20
F5	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin + \| DAY:8
F6	Sample source:RBC \| GENOTYPE:PRDX2 \| GROUP_DESC:Biotin - \| DAY:8
F7	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin + \| DAY:15
F8	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin - \| DAY:15
F9	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin + \| DAY:20
F10	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin - \| DAY:20
F11	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin + \| DAY:8
F12	Sample source:RBC \| GENOTYPE:WT \| GROUP_DESC:Biotin - \| DAY:8

Data matrix