Clustering data with heatmap algorithm for (Study ST002472)

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:

F1Matrix:Cell_pool | Sample Type:QC_Titration | Tretment:-
F2Matrix:Cell | Sample Type:Experiment | Tretment:Lactate
F3Matrix:Cell | Sample Type:Experiment | Tretment:Lactate+Nitrate
F4Matrix:Cell | Sample Type:Experiment | Tretment:Nitrate
F5Matrix:Media_pool | Sample Type:QC_Titration | Tretment:-
F6Matrix:Spent Media | Sample Type:Experiment | Tretment:Lactate
F7Matrix:Spent Media | Sample Type:Experiment | Tretment:Lactate+Nitrate
F8Matrix:Spent Media | Sample Type:Experiment | Tretment:Nitrate
F9Matrix:Unspent Media | Sample Type:Experiment | Tretment:Lactate
F10Matrix:Unspent Media | Sample Type:Experiment | Tretment:Lactate+Nitrate
F11Matrix:Unspent Media | Sample Type:Experiment | Tretment:Nitrate
Data matrix
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