Clustering data with heatmap algorithm for (Study ST003867)

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 source:pooled vitreous QC | Dianosis:NA | Disease Status:NA
F2Sample source:Vitreous humor | Dianosis:Epiretinal membrane (ERM) | Disease Status:Control
F3Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with macular edema and pre-retinal hemorrhage
F4Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with neovascular glaucoma
F5Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with tractional retinal detachments
F6Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with vitreous hemorrhage
F7Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with vitreous hemorrhage and cataract
F8Sample source:Vitreous humor | Dianosis:Proliferative diabetic retinopathy (PDR) | Disease Status:Active with vitreous hemorrhage and tractional retinal detachments
Data matrix
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