Clustering data with heatmap algorithm for (Study ST001154)

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:A2m
F2Genotype:Ahcy
F3Genotype:Atp5b
F4Genotype:Atp6v0d1
F5Genotype:C8a
F6Genotype:Cdk4
F7Genotype:Dhfr
F8Genotype:Dync1li1
F9Genotype:G6pd2
F10Genotype:Galc
F11Genotype:Gnpda1
F12Genotype:Idh1
F13Genotype:Iqgap1
F14Genotype:Lmbrd1
F15Genotype:Mfap4
F16Genotype:Mmachc
F17Genotype:Mvk
F18Genotype:Nek2
F19Genotype:Npc2
F20Genotype:Null
F21Genotype:Pebp1
F22Genotype:Phyh
F23Genotype:Pipox
F24Genotype:Plk1
F25Genotype:Pmm2
F26Genotype:Ptpn12
F27Genotype:Pttg1
F28Genotype:Rock1
F29Genotype:Sra1
F30Genotype:Ulk3
F31Genotype:Ywhaz
Data matrix
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