Clustering data with heatmap algorithm for (Study ST000054)

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	treatment:Basal | pool aliquot:no
F2	treatment:Basal | pool aliquot:yes
F3	treatment:DCIS | pool aliquot:no
F4	treatment:DCIS | pool aliquot:yes
F5	treatment:HER2 | pool aliquot:no
F6	treatment:HER2 | pool aliquot:yes
F7	treatment:LumA | pool aliquot:no
F8	treatment:LumA | pool aliquot:yes
F9	treatment:LumB | pool aliquot:no
F10	treatment:LumB | pool aliquot:yes
F11	treatment:Reduction | pool aliquot:no
F12	treatment:Reduction | pool aliquot:yes
F13	treatment:Total Pool1 | pool aliquot:yes
F14	treatment:Total Pool2 | pool aliquot:yes

Data matrix