it.sol: Iterative solution for Empirical Bayesian method.

In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data

Description

Iterative solution for Empirical Bayesian method.

Usage

it.sol(sdat, g.hat, d.hat, g.bar, t2, a, b, conv = 1e-04)

Arguments

sdat	Standardized matrix of gene expression data.
g.hat	Estimated additive batch effect.
d.hat	Estimated multiplicative batch effect.
g.bar	Mean of g.hat.
t2	Variance of the rows of g.hat.
a	Value of the function aprior applied to multiplicative batch effect.
b	Value of the function bprior applied to multiplicative batch effect.
conv	Convergence threshold.

Value

Matrix of estimated additive and multiplicative batch effects.

Warning

This function is not called by the user directly.

Author(s)

WE Johnson.

References

W. Johnson E., L. Chen, Rabinovic, and A. Adjusting batch effects in microarray expression data using Empirical Bayes methods. Biostatistics, 8(1):118-127, Jan ary2007. ISSN 1465-4644. doi: http://dx.doi.org/10.1093/biostatistics/kxj037.

See Also

ComBat,aprior,bprior

survJamda documentation built on May 1, 2019, 8:50 p.m.