Clustering data with heatmap algorithm for (Study ST003430)

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:BT-474 breast cancer cells | Sample Type:Intracellular | Drug Treatment:10 nM GSK214069
F2	Sample source:BT-474 breast cancer cells | Sample Type:Intracellular | Drug Treatment:200 nM GSK214069
F3	Sample source:BT-474 breast cancer cells | Sample Type:Intracellular | Drug Treatment:500 nM GSK214069
F4	Sample source:BT-474 breast cancer cells | Sample Type:Intracellular | Drug Treatment:50 nM GSK214069
F5	Sample source:BT-474 breast cancer cells | Sample Type:Intracellular | Drug Treatment:Control
F6	Sample source:BT-474 breast cancer cells | Sample Type:Medium | Drug Treatment:10 nM GSK214069
F7	Sample source:BT-474 breast cancer cells | Sample Type:Medium | Drug Treatment:200 nM GSK214069
F8	Sample source:BT-474 breast cancer cells | Sample Type:Medium | Drug Treatment:500 nM GSK214069
F9	Sample source:BT-474 breast cancer cells | Sample Type:Medium | Drug Treatment:50 nM GSK214069
F10	Sample source:BT-474 breast cancer cells | Sample Type:Medium | Drug Treatment:Control
F11	Sample source:NA | Sample Type:Blank | Drug Treatment:NA
F12	Sample source:NA | Sample Type:NA | Drug Treatment:NA
F13	Sample source:NA | Sample Type:QC | Drug Treatment:NA

Data matrix