Clustering data with heatmap algorithm for (Study ST003082)

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:blank | Developmental Timepoint:- | Maternal Treatment (injection):- | Collection Timepoint:-
F2Sample source:embryonic Serum | Developmental Timepoint:E14.5 | Maternal Treatment (injection):PolyIC | Collection Timepoint:48h
F3Sample source:embryonic Serum | Developmental Timepoint:E14.5 | Maternal Treatment (injection):saline | Collection Timepoint:48h
F4Sample source:maternal Serum | Developmental Timepoint:E14.5 | Maternal Treatment (injection):PolyIC | Collection Timepoint:48h
F5Sample source:maternal Serum | Developmental Timepoint:E14.5 | Maternal Treatment (injection):saline | Collection Timepoint:48h
F6Sample source:mock | Developmental Timepoint:- | Maternal Treatment (injection):- | Collection Timepoint:-
F7Sample source:pool embryonic CSF | Developmental Timepoint:- | Maternal Treatment (injection):- | Collection Timepoint:-
F8Sample source:pool Embryonic Serum | Developmental Timepoint:- | Maternal Treatment (injection):- | Collection Timepoint:-
F9Sample source:pool Maternal Serum | Developmental Timepoint:- | Maternal Treatment (injection):- | Collection Timepoint:-
Data matrix
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