Clustering data with heatmap algorithm for (Study ST000876)

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	L-serine (mg/kg/day):100 | time point (weeks):6
F2	L-serine (mg/kg/day):200 | time point (weeks):52
F3	L-serine (mg/kg/day):200 | time point (weeks):9
F4	L-serine (mg/kg/day):300 | time point (weeks):12
F5	L-serine (mg/kg/day):400 | time point (weeks):15
F6	L-serine (mg/kg/day):400 | time point (weeks):18
F7	L-serine (mg/kg/day):400 | time point (weeks):21
F8	L-serine (mg/kg/day):400 | time point (weeks):30
F9	L-serine (mg/kg/day):400 | time point (weeks):38
F10	L-serine (mg/kg/day):400 | time point (weeks):44
F11	L-serine (mg/kg/day):50 | time point (weeks):3
F12	L-serine (mg/kg/day):- | time point (weeks):-

Data matrix