Clustering data with heatmap algorithm for (Study ST004492)

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:

F1Genotype:TIGAR-knockout | Treatment:13C Glc | Time:1H | Sample source:HIEC6 cells
F2Genotype:TIGAR-knockout | Treatment:13C Glc | Time:24H | Sample source:HIEC6 cells
F3Genotype:TIGAR-knockout | Treatment:13C Glc | Time:2H | Sample source:HIEC6 cells
F4Genotype:TIGAR-knockout | Treatment:13C Glc | Time:4H | Sample source:HIEC6 cells
F5Genotype:TIGAR-knockout | Treatment:13C Glc | Time:8H | Sample source:HIEC6 cells
F6Genotype:Wild-type | Treatment:13C Glc | Time:1H | Sample source:HIEC6 cells
F7Genotype:Wild-type | Treatment:13C Glc | Time:24H | Sample source:HIEC6 cells
F8Genotype:Wild-type | Treatment:13C Glc | Time:2H | Sample source:HIEC6 cells
F9Genotype:Wild-type | Treatment:13C Glc | Time:4H | Sample source:HIEC6 cells
F10Genotype:Wild-type | Treatment:13C Glc | Time:8H | Sample source:HIEC6 cells
Data matrix
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