Clustering data with heatmap algorithm for (Study ST004206)

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:GPR34-KO | Disease_State:APP-KI | Age_months:16 months | Sample source:Microglia
F2Genotype:GPR34-KO | Disease_State:APP-KI | Age_months:24 months | Sample source:Microglia
F3Genotype:GPR34-KO | Disease_State:APP-KI | Age_months:4 months | Sample source:Microglia
F4Genotype:GPR34-KO | Disease_State:APP-KI | Age_months:8 months | Sample source:Microglia
F5Genotype:GPR34-KO | Disease_State:WT | Age_months:16 months | Sample source:Microglia
F6Genotype:GPR34-KO | Disease_State:WT | Age_months:4 months | Sample source:Microglia
F7Genotype:GPR34-KO | Disease_State:WT | Age_months:8 months | Sample source:Microglia
F8Genotype:NA | Disease_State:NA | Age_months:16 months | Sample source:Microglia
F9Genotype:NA | Disease_State:NA | Age_months:4 months | Sample source:Microglia
F10Genotype:NA | Disease_State:NA | Age_months:8 months | Sample source:Microglia
F11Genotype:WT | Disease_State:APP-KI | Age_months:16 months | Sample source:Microglia
F12Genotype:WT | Disease_State:APP-KI | Age_months:24 months | Sample source:Microglia
F13Genotype:WT | Disease_State:APP-KI | Age_months:4 months | Sample source:Microglia
F14Genotype:WT | Disease_State:APP-KI | Age_months:8 months | Sample source:Microglia
F15Genotype:WT | Disease_State:WT | Age_months:16 months | Sample source:Microglia
F16Genotype:WT | Disease_State:WT | Age_months:4 months | Sample source:Microglia
F17Genotype:WT | Disease_State:WT | Age_months:8 months | Sample source:Microglia
Data matrix
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