\name{gcrma.engine2} \alias{gcrma.engine2} \title{GCRMA background adjust engine(internal function)} \description{ This function adjust for non-specific binding when each array has its own probe affinity information. It takes an AffyBatch object of probe intensities and an AffyBatch of probe affinity, returns one matrix of non-specific binding corrected PM probe intensities. } \usage{ gcrma.engine2(object,pmIndex=NULL,mmIndex=NULL, NCprobe=NULL,affinity.info, type=c("fullmodel","affinities","mm","constant"), k=6*fast+0.5*(1-fast), stretch=1.15*fast+1*(1-fast),correction=1,GSB.adjust=TRUE,rho=0.7, verbose=TRUE,fast=TRUE) } \arguments{ \item{object}{an \code{\link[affy:AffyBatch-class]{AffyBatch}}. Note: this is an internal function. Optical noise should have been corrected for. } \item{pmIndex}{Index of PM probes.This will be computed within the function if left \code{NULL}} \item{mmIndex}{Index of MM probes.This will be computed within the function if left \code{NULL}} \item{NCprobe}{Index of negative control probes. When set as \code{NULL},the MM probes will be used. These probes are used to estimate parameters of non-specific binding on each array. These will be also used to estimate probe affinity profiles when affinity.info is not provided.} \item{affinity.info}{\code{NULL} or an \code{AffyBatch} containing the affinities in the \code{exprs} slot. This object can be created using the function \code{\link{compute.affinities}}.} \item{type}{"fullmodel" for sequence and MM model. "affinities" for sequence information only. "mm" for using MM without sequence information.} \item{k}{A tuning factor.} \item{stretch}{.} \item{correction}{.} \item{GSB.adjust}{Logical value. If \code{TRUE}, probe effects in specific binding will be adjusted.} \item{rho}{correlation coefficient of log background intensity in a pair of pm/mm probes. Default=.7} \item{verbose}{Logical value. If \code{TRUE} messages about the progress of the function is printed.} \item{fast}{Logicalvalue. If \code{TRUE} a faster add-hoc algorithm is used.} } \details{ Note that this expression measure is given to you in log base 2 scale. This differs from most of the other expression measure methods. The tunning factor \code{k} will have different meainngs if one uses the fast (add-hoc) algorithm or the empirical bayes approach. See Wu et al. (2003) } \value{ A matrix of PM intensties. } \seealso{gcrma.engine} \author{Rafeal Irizarry & Zhijin Wu} \examples{ } \keyword{manip}