I was wondering if you could help me to understand limma linear regression output for continuous variables.
I got result for epic array methylation data and eGFR association in this format;
logFC AveExpr. t P.Value adj.P.Val B cg03546163 0.41018776 -0.8013218 7.85104192 1.13E-12 8.65E-07 12.3051291 cg17944885 -0.4884859 2.31974279 -5.7319645 6.33E-08 0.02431349 5.15237109
Could you please help me to understand what is difference between B, logFC, t, and AveExpr. and what are more important output need to consider to for eGFR and CpG association here?
I have used this below model at adjust for covariates;
#model matrix var<-model.matrix(~logeGFR + as.factor(Gender) + Age +CD8T +CD4T +NK + Bcell +Mono ,data=targets2)
Thanks again for your all help. Please share any more documents or papers that can help to understand it more.