Clustering data with heatmap algorithm for (Study ST001903)

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:

F1Sample description:A375 CTRL | Tissue:plasma
F2Sample description:A375 CTRL | Tissue:tumor
F3Sample description:A375 LCT-MCT | Tissue:plasma
F4Sample description:A375 LCT-MCT | Tissue:tumor
F5Sample description:A375 LCT | Tissue:plasma
F6Sample description:A375 LCT | Tissue:tumor
F7Sample description:WM3000 CTRL | Tissue:plasma
F8Sample description:WM3000 CTRL | Tissue:tumor
F9Sample description:WM3000 LCT-MCT | Tissue:plasma
F10Sample description:WM3000 LCT-MCT | Tissue:tumor
F11Sample description:WM3000 LCT | Tissue:plasma
F12Sample description:WM3000 LCT | Tissue:tumor
F13Sample description:WM3311 CTRL | Tissue:plasma
F14Sample description:WM3311 CTRL | Tissue:tumor
F15Sample description:WM3311 LCT-MCT | Tissue:plasma
F16Sample description:WM3311 LCT-MCT | Tissue:tumor
F17Sample description:WM3311 LCT | Tissue:plasma
F18Sample description:WM3311 LCT | Tissue:tumor
F19Sample description:WM47 CTRL | Tissue:plasma
F20Sample description:WM47 CTRL | Tissue:tumor
F21Sample description:WM47 LCT-MCT | Tissue:plasma
F22Sample description:WM47 LCT-MCT | Tissue:tumor
F23Sample description:WM47 LCT | Tissue:plasma
F24Sample description:WM47 LCT | Tissue:tumor
Data matrix
  logo