Clustering data with heatmap algorithm for (Study ST003057)

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	Time:0h | Sample type:infarct
F2	Time:0h | Sample type:remote
F3	Time:24h | Sample type:border
F4	Time:24h | Sample type:infarct
F5	Time:24h | Sample type:remote
F6	Time:3d | Sample type:border
F7	Time:3d | Sample type:infarct
F8	Time:3d | Sample type:remote
F9	Time:3h | Sample type:border
F10	Time:3h | Sample type:infarct
F11	Time:3h | Sample type:remote
F12	Time:7d | Sample type:border
F13	Time:7d | Sample type:infarct
F14	Time:7d | Sample type:remote
F15	Time:control | Sample type:control_heart_tissue

Data matrix