07SingleChannel: Topic: Individual Channel Analysis of Two-Color Microarrays
In hdeberg/limma: Linear Models for Microarray Data
Description
Author(s)
See Also
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
See Also
01.Introduction,
02.Classes,
03.ReadingData,
04.Background,
05.Normalization,
06.LinearModels,
07.SingleChannel,
08.Tests,
09.Diagnostics,
10.GeneSetTests,
11.RNAseq
hdeberg/limma documentation built on Dec. 20, 2021, 3:43 p.m.
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Description Author(s) See Also
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
See Also
01.Introduction, 02.Classes, 03.ReadingData, 04.Background, 05.Normalization, 06.LinearModels, 07.SingleChannel, 08.Tests, 09.Diagnostics, 10.GeneSetTests, 11.RNAseq
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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