Clustering data with heatmap algorithm for (Study ST003420)

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:Process blank | Sample source:Process blank | Replicate:Process blank
F2Genotype:Wild-type | Sample source:Saccharomyces cerevisiae | Replicate:1
F3Genotype:Wild-type | Sample source:Saccharomyces cerevisiae | Replicate:2
F4Genotype:Wild-type | Sample source:Saccharomyces cerevisiae | Replicate:3
F5Genotype:YJR116w KO | Sample source:Saccharomyces cerevisiae | Replicate:1
F6Genotype:YJR116w KO | Sample source:Saccharomyces cerevisiae | Replicate:2
F7Genotype:YJR116w KO | Sample source:Saccharomyces cerevisiae | Replicate:3
F8Genotype:YPR114w KO | Sample source:Saccharomyces cerevisiae | Replicate:1
F9Genotype:YPR114w KO | Sample source:Saccharomyces cerevisiae | Replicate:2
F10Genotype:YPR114w KO | Sample source:Saccharomyces cerevisiae | Replicate:3
Data matrix
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