My queries are about the pi (π) values for multi-trait Bayes B.
Which are standard values for a trivariate analysis?
How can I change those values when our a priori hypothesis is that most SNPs have zero effect? What is the argument to be changed?
In a nutshell, Doing a multi-trait analysis without estimating pi.
For example. pi_1: 0.95, pi_2=0.95, pi_3 =0.95; Pr(0,0,0) = probbaility that a given SNP has zerro effect for three traits = 0.857. The rest of prrobabilty variables are from a uniform distribution).
Hello dear PhDs
My queries are about the pi (π) values for multi-trait Bayes B. Which are standard values for a trivariate analysis? How can I change those values when our a priori hypothesis is that most SNPs have zero effect? What is the argument to be changed? In a nutshell, Doing a multi-trait analysis without estimating pi. For example. pi_1: 0.95, pi_2=0.95, pi_3 =0.95; Pr(0,0,0) = probbaility that a given SNP has zerro effect for three traits = 0.857. The rest of prrobabilty variables are from a uniform distribution).
Thank you in advances