Clustering data with heatmap algorithm for (Study ST003456)

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:blank | Group:Blank | Timepoint:NA
F2	Sample source:blood | Group:Control | Timepoint:-1
F3	Sample source:blood | Group:Control | Timepoint:-2
F4	Sample source:blood | Group:Control | Timepoint:-3
F5	Sample source:blood | Group:Control | Timepoint:Pre
F6	Sample source:blood | Group:QC | Timepoint:NA
F7	Sample source:blood | Group:Sepsis | Timepoint:-1
F8	Sample source:blood | Group:Sepsis | Timepoint:-3
F9	Sample source:blood | Group:Sepsis | Timepoint:Pre
F10	Sample source:blood | Group:SIRS | Timepoint:-1
F11	Sample source:blood | Group:SIRS | Timepoint:-2
F12	Sample source:blood | Group:SIRS | Timepoint:-3
F13	Sample source:blood | Group:SIRS | Timepoint:Pre
F14	Sample source:blood | Group:Uncomplicated Infection | Timepoint:-1
F15	Sample source:blood | Group:Uncomplicated Infection | Timepoint:-2
F16	Sample source:blood | Group:Uncomplicated Infection | Timepoint:-3
F17	Sample source:blood | Group:Uncomplicated Infection | Timepoint:Pre

Data matrix