Clustering data with heatmap algorithm for (Study ST003079)

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:Embryonic CSF | Maternal Treatment (injection):PolyIC | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F2Sample source:Embryonic CSF | Maternal Treatment (injection):PolyIC | Developmental Timepoint:E14.5 | Collection Time:48 Hrs
F3Sample source:Embryonic CSF | Maternal Treatment (injection):saline | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F4Sample source:Embyronic Liver | Maternal Treatment (injection):PolyIC | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F5Sample source:Embyronic Liver | Maternal Treatment (injection):saline | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F6Sample source:Maternal Liver | Maternal Treatment (injection):PolyIC | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F7Sample source:Maternal Liver | Maternal Treatment (injection):saline | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F8Sample source:maternal serum | Maternal Treatment (injection):PolyIC | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F9Sample source:maternal serum | Maternal Treatment (injection):saline | Developmental Timepoint:E12.5 | Collection Time:3 Hrs
F10Sample source:mock | Maternal Treatment (injection):N/A | Developmental Timepoint:N/A | Collection Time:N/A
Data matrix
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