I'm trying to run meta-analysis of multiple data sets (microarray) using metafor. However, I'm struggling to understand the input.
I've already preprocessed the data and have my differentially expressed genes from limma.
The metafor function is:
rma(yi, vi, sei, weights, ai, bi, ci, di, n1i, n2i, x1i, x2i, t1i, t2i, m1i, m2i, sd1i, sd2i, xi, mi, ri, ti, sdi, r2i, ni, mods, measure="GEN", intercept=TRUE, data, slab, subset, add=1/2, to="only0", drop00=FALSE, vtype="LS", method="REML", weighted=TRUE, test="z", level=95, digits=4, btt, tau2, verbose=FALSE, control, ...)
yi vector of length k with the observed effect sizes or outcomes. See ‘Details’. vi vector of length k with the corresponding sampling variances. See ‘Details’.
What are yi and vi in relation to my limma results? And what are the ai, bi etc...?