summarizeAdjFluo {CONFESS} | R Documentation |
A wrapper of the functions used for run effect and background correction. It gives the the corrected, transformed corrected and mixture groups of each baseline run.
summarizeAdjFluo(data, transformation, BGmethod, maxMix, reference, prior.pi, flex.reps, flexmethod, image.type, savePlot, seed)
data |
List. A list with the fluorescence signal information of both channels. |
BGmethod |
Character string. The type of image background correction to be performed. One of "normexp" or "subtract". |
maxMix |
Integer. The maximum number of components to fit into the mixture of regressions model. If maxMix=1 or if the the optimal number of the estimated components is 1, the model reduces to the classical 2-way ANOVA. |
reference |
Numeric vector. Specifies the runs to be used as baseline (iteratively). |
prior.pi |
Float. The prior probability to accept a component. |
flex.reps |
Integer. The iterations of the Expectation-Maximization algorithm to estimate the flexmix model. |
flexmethod |
Character string. A method to estimate the optimal number of flexmix components. One of "BIC", "AIC", "ICL". |
image.type |
Character string. A triplet of IDs to characterize the type of images under study. |
savePlot |
Character string. The directory to store the plots or an option to print them on the screen. |
seed |
Integer. An optional seed number for the Random Number Generator. |
transform |
Character string. The type of transformation to be performed. One of "bc" (Box-Cox), "log", "log10" or "asinh". |
A list with the adjusted fluorescence signals