Metabolomics Workbench : NIH Data Repository

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Clustering data with heatmap algorithm for (Study ST002353)

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	metabolite_source:100 nM library \| protein:MED1 \| RNA:150 nM \| fraction:aqueous
F2	metabolite_source:100 nM library \| protein:MED1 \| RNA:150 nM \| fraction:condensate
F3	metabolite_source:100 nM library \| protein:MED1 \| RNA:150 nM \| fraction:input
F4	metabolite_source:10 uM library \| protein:MED1 \| RNA:150 nM \| fraction:aqueous
F5	metabolite_source:10 uM library \| protein:MED1 \| RNA:150 nM \| fraction:condensate
F6	metabolite_source:10 uM library \| protein:MED1 \| RNA:150 nM \| fraction:input
F7	metabolite_source:1 uM library \| protein:MED1 \| RNA:150 nM \| fraction:aqueous
F8	metabolite_source:1 uM library \| protein:MED1 \| RNA:150 nM \| fraction:condensate
F9	metabolite_source:1 uM library \| protein:MED1 \| RNA:150 nM \| fraction:input

Data matrix