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Clustering data with heatmap algorithm for (Study ST001901)

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:

F1	Genotype:gem1 knockout \| Media:SD+Leucine \| Treatment:ConcA
F2	Genotype:gem1 knockout \| Media:SD+Leucine \| Treatment:DMSO
F3	Genotype:gem1 knockout \| Media:YPAD \| Treatment:ConcA
F4	Genotype:gem1 knockout \| Media:YPAD \| Treatment:DMSO
F5	Genotype:gem1 knockout \| Media:YPAD \| Treatment:Rap
F6	Genotype:gem1 vps27 double knockout \| Media:SD+Leucine \| Treatment:ConcA
F7	Genotype:gem1 vps27 double knockout \| Media:SD+Leucine \| Treatment:DMSO
F8	Genotype:Pooled QC sample \| Media:N/A \| Treatment:N/A
F9	Genotype:Process blank \| Media:N/A \| Treatment:N/A
F10	Genotype:vps27 knockout \| Media:SD+Leucine \| Treatment:ConcA
F11	Genotype:vps27 knockout \| Media:SD+Leucine \| Treatment:DMSO
F12	Genotype:wild-type \| Media:MinD \| Treatment:DMSO
F13	Genotype:wild-type \| Media:SD+Leucine \| Treatment:ConcA
F14	Genotype:wild-type \| Media:SD+Leucine \| Treatment:DMSO
F15	Genotype:wild-type \| Media:SD \| Treatment:DMSO
F16	Genotype:wild-type \| Media:YPAD \| Treatment:ConcA
F17	Genotype:wild-type \| Media:YPAD \| Treatment:DMSO
F18	Genotype:wild-type \| Media:YPAD \| Treatment:Rap

Data matrix