Clustering data with heatmap algorithm for (Study ST002352)

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:

F1Protein:MED1 | RNA:150 nM | fraction:aqueous | Extraction from condensate:No heat step | timing of metabolite extract addition:standard
F2Protein:MED1 | RNA:150 nM | fraction:aqueous | Extraction from condensate:standard | timing of metabolite extract addition:Metabolites added after 10 min incubation
F3Protein:MED1 | RNA:150 nM | fraction:condensate | Extraction from condensate:No heat step | timing of metabolite extract addition:standard
F4Protein:MED1 | RNA:150 nM | fraction:condensate | Extraction from condensate:standard | timing of metabolite extract addition:Metabolites added after 10 min incubation
F5Protein:MED1 | RNA:150 nM | fraction:input | Extraction from condensate:No heat step | timing of metabolite extract addition:standard
F6Protein:MED1 | RNA:150 nM | fraction:input | Extraction from condensate:standard | timing of metabolite extract addition:Metabolites added after 10 min incubation
Data matrix
  logo