Expand description
beadCountWeights (beadCountWeights.R): bead-count quality weights for
Illumina BeadChips. Each probe’s variance is split into a technical
component predicted from the bead-level coefficient of variation and bead
counts, and a biological component recovered from the residual variance
after fitting the design. The returned weights are 1 / (tech + bio),
row-normalised to mean 1.
The biological variance is found per probe by Newton’s method, exactly as in
limma’s internal .ilmn.biological.variance.
Structs§
- Bead
Count Weights - Result of
bead_count_weights.
Enums§
- Bead
Dispersion - How the bead-level dispersion is supplied. limma accepts either the
per-probe standard deviation directly, or the standard error of the bead
mean (in which case
stdev = stderr * sqrt(nbeads)).
Functions§
- bead_
count_ weights beadCountWeights(y, x, design, nbeads, bead.stdev|bead.stderr, array.cv, scale).