Clustering data with heatmap algorithm for (Study ST002835)

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:

F1cell line:ICC13-7 | treatment:control | labeling status:13C6-Glucose Isotopic tracing 0h as ctrl
F2cell line:ICC13-7 | treatment:control | labeling status:13C6-Glucose Isotopic tracing 1h
F3cell line:ICC13-7 | treatment:control | labeling status:13C6-Glucose Isotopic tracing 24h
F4cell line:ICC13-7 | treatment:Infigratinib | labeling status:13C6-Glucose Isotopic tracing 0h as ctrl
F5cell line:ICC13-7 | treatment:Infigratinib | labeling status:13C6-Glucose Isotopic tracing 1h
F6cell line:ICC13-7 | treatment:Infigratinib | labeling status:13C6-Glucose Isotopic tracing 24h
F7cell line:ICC21 | treatment:Afatinib | labeling status:N/A
F8cell line:ICC21 | treatment:Combo | labeling status:N/A
F9cell line:ICC21 | treatment:control | labeling status:N/A
F10cell line:ICC21 | treatment:Infigratinib | labeling status:N/A
Data matrix
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