Clustering data with heatmap algorithm for Mechanisms for Insulin Resistance in Polycystic Ovary Syndrome: aminoadipic acid, lysine concentrations, and enrichment (part I) (Study ST000947)

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:

F1Time point:120 | Group:control
F2Time point:120 | Group:PCOS
F3Time point:135 | Group:control
F4Time point:135 | Group:PCOS
F5Time point:150 | Group:control
F6Time point:150 | Group:PCOS
F7Time point:-15 | Group:control
F8Time point:-15 | Group:PCOS
F9Time point:165 | Group:control
F10Time point:165 | Group:PCOS
F11Time point:180 | Group:control
F12Time point:180 | Group:PCOS
F13Time point:-30 | Group:control
F14Time point:-30 | Group:PCOS
F15Time point:-45 | Group:control
F16Time point:-45 | Group:PCOS
F17Time point:-60 | Group:control
F18Time point:60 | Group:control
F19Time point:-60 | Group:PCOS
F20Time point:60 | Group:PCOS
F21Time point:baseline | Group:control
F22Time point:baseline | Group:PCOS
Data matrix
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