Clustering data with heatmap algorithm for (Study ST002922)

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:Control
F2Treatment:Control supernatant
F3Treatment:DINCH 100nM
F4Treatment:DINCH 100nM supernatant
F5Treatment:DINCH 10nM
F6Treatment:DINCH 10nM supernatant
F7Treatment:DINCH 10µM
F8Treatment:DINCH 10µM supernatant
F9Treatment:DINCH 1µM
F10Treatment:DINCH 1µM supernatant
F11Treatment:Medium blank supernatant
F12Treatment:MINCH 100nM
F13Treatment:MINCH 100nM supernatant
F14Treatment:MINCH 10nM
F15Treatment:MINCH 10nM supernatant
F16Treatment:MINCH 10µM
F17Treatment:MINCH 10µM supernatant
F18Treatment:MINCH 1µM
F19Treatment:MINCH 1µM supernatant
F20Treatment:MINCH GW supernatant
F21Treatment:Rosiglitazone
F22Treatment:Rosiglitazone supernatant
Data matrix
  logo