Agilent Technologies LSCA - Our measure is your success
clear
white
clear
white
clear

Analysis Guide Introduction - Cross-Gene Error Model 

white
clear clear clear clear clear

grey1
Literature Library
Technical Support
Education & Events

grey1
The Cross-Gene Error Model is a way to estimate measurement precision by combining variability of gene expression data. How variability information gets combined is dependent on whether the model is based on Deviation from 1 or based on Replicates.
 
 
grey1
related_bottom_left clear clear clear
clear
grey2
Please select your country:
 
   
Registration   |  Login Benefits of Registration