Clustering data with heatmap algorithm for (Study ST002349)

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:HNRNPA1 | RNA:150 nM | Fraction:aqueous
F2Protein:HNRNPA1 | RNA:150 nM | Fraction:condensate
F3Protein:HNRNPA1 | RNA:150 nM | Fraction:input
F4Protein:MED1 | RNA:150 nM | Fraction:aqueous
F5Protein:MED1 | RNA:150 nM | Fraction:condensate
F6Protein:MED1 | RNA:150 nM | Fraction:input
F7Protein:SARA CoV-2 nucleocapsid | RNA:0 nM | Fraction:aqueous
F8Protein:SARA CoV-2 nucleocapsid | RNA:0 nM | Fraction:condensate
F9Protein:SARA CoV-2 nucleocapsid | RNA:0 nM | Fraction:input
F10Protein:SARA CoV-2 nucleocapsid | RNA:150 nM | Fraction:aqueous
F11Protein:SARA CoV-2 nucleocapsid | RNA:150 nM | Fraction:condensate
F12Protein:SARA CoV-2 nucleocapsid | RNA:150 nM | Fraction:input
F13Protein:SARA CoV-2 nucleocapsid | RNA:600 nM | Fraction:aqueous
F14Protein:SARA CoV-2 nucleocapsid | RNA:600 nM | Fraction:condensate
F15Protein:SARA CoV-2 nucleocapsid | RNA:600 nM | Fraction:input
Data matrix
  logo