Clustering data with heatmap algorithm for Early in life exposure studies on human and mouse samples (Study ST000304)

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:

F1	Hyperoxia exposure:n/a | RV infection:n/a | Sample type:Trachea
F2	Hyperoxia exposure:n | RV infection:n/a | Sample type:Bronchoalveolar Lavage Fluid
F3	Hyperoxia exposure:n | RV infection:n/a | Sample type:Plasma
F4	Hyperoxia exposure:n | RV infection:n | Sample type:Plasma
F5	Hyperoxia exposure:n | RV infection:y | Sample type:Plasma
F6	Hyperoxia exposure:y | RV infection:n/a | Sample type:Bronchoalveolar Lavage Fluid
F7	Hyperoxia exposure:y | RV infection:n/a | Sample type:Plasma
F8	Hyperoxia exposure:y | RV infection:n | Sample type:Plasma
F9	Hyperoxia exposure:y | RV infection:y | Sample type:Plasma

Data matrix