Clustering data with heatmap algorithm for Metabolite changes associated with methionine stress sensitivity of cancer (GC TOF MS analysis) (Study ST000058)

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:

F1Treatment:Group 1: Methionine Treated - Group 1
F2Treatment:Group 2: Homocysteine Treated-2 hours - Group 2
F3Treatment:Group 3: Homocysteine Treated- 4 hours - Group 3
F4Treatment:Group 4: Homocysteine Treated- 8 hours - Group 4
F5Treatment:Group 5: Homocysteine Treated- 12 hours - Group 5
F6Treatment:Group 6: Homocysteine Treated- 24 hours - Group 6
F7Treatment:Group 7: Homocysteine Treated- 48 hours - Group 7
Data matrix
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