Clustering data with heatmap algorithm for (Study ST003922)

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:Serum | Sample collection time:T0 | Prognostic group:Exitus
F2	Sample source:Serum | Sample collection time:T0 | Prognostic group:Healthy discharged
F3	Sample source:Serum | Sample collection time:T0 | Prognostic group:Polyneuropathic syndrome
F4	Sample source:Serum | Sample collection time:T1 | Prognostic group:Exitus
F5	Sample source:Serum | Sample collection time:T1 | Prognostic group:Healthy discharged
F6	Sample source:Serum | Sample collection time:T1 | Prognostic group:Polyneuropathic syndrome
F7	Sample source:Serum | Sample collection time:T2 | Prognostic group:Exitus
F8	Sample source:Serum | Sample collection time:T2 | Prognostic group:Healthy discharged
F9	Sample source:Serum | Sample collection time:T2 | Prognostic group:Polyneuropathic syndrome
F10	Sample source:Serum | Sample collection time:T3 | Prognostic group:Exitus
F11	Sample source:Serum | Sample collection time:T3 | Prognostic group:Healthy discharged
F12	Sample source:Serum | Sample collection time:T3 | Prognostic group:Polyneuropathic syndrome

Data matrix