07SingleChannel: Individual Channel Analysis of Two-Color Microarrays
In richierocks/limma2: Linear Models for Microarray Data
Description
This page gives an overview of the LIMMA functions fit linear models to two-color microarray data in terms of the log-intensities rather than log-ratios.
The function intraspotCorrelation estimates the intra-spot correlation between the two channels.
The regression function lmscFit takes the correlation as an argument and fits linear models to the two-color data in terms of the individual log-intensities.
The output of lmscFit is an MArrayLM object just the same as from lmFit, so inference proceeds in the same way as for log-ratios once the linear model is fitted.
See 06.LinearModels.
The function targetsA2C converts two-color format target data frames to single channel format, i.e, converts from array-per-line to channel-per-line, to facilitate the formulation of the design matrix.
Author(s)
Gordon Smyth
richierocks/limma2 documentation built on May 27, 2019, 8:47 a.m.
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Description
This page gives an overview of the LIMMA functions fit linear models to two-color microarray data in terms of the log-intensities rather than log-ratios.
The function intraspotCorrelation estimates the intra-spot correlation between the two channels.
The regression function lmscFit takes the correlation as an argument and fits linear models to the two-color data in terms of the individual log-intensities.
The output of lmscFit is an MArrayLM object just the same as from lmFit, so inference proceeds in the same way as for log-ratios once the linear model is fitted.
See 06.LinearModels.
The function targetsA2C converts two-color format target data frames to single channel format, i.e, converts from array-per-line to channel-per-line, to facilitate the formulation of the design matrix.
Author(s)
Gordon Smyth
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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