Robust estimation of cDNA microarray intensities with replicates. The package uses a Bayesian hierarchical model for the robust estimation. Outliers are modeled explicitly using a t-distribution, and the model also addresses classical issues such as design effects, normalization, transformation, and nonconstant variance.
|Bioconductor views||Microarray Preprocessing QualityControl TwoChannel|
|Date of publication||None|
|Maintainer||Raphael Gottardo <email@example.com>|
|License||GPL (>= 2)|
arrange.row: Reorder a dataset by increasing row order.
est.shift: Estimate the shift used in the log transformation
fit.model: Robust estimation of microarray intensities with replicates
hiv: Cellular gene expression upon human immunodeficiency virus...
is.row.na: Test if a matrix contains missing values
ls.effect: Compute the least squares estimates of the all the effects of...
mat.mean: Compute the mean and standard deviation of each row in a data...
ratio.plot: Plot the estimated log ratios against the overall intensities
weight.plot: Plot the weights of a given array using the spatial location...
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