RPA-package | RPA: probabilistic analysis of probe reliability and gene expression |
estimate.affinities | Probe affinity estimation |
estimate.hyperparameters | Hyperparameter estimation |
get.batches | Split data into batches |
get.probe.noise.estimates | Fetch probe-level noise estimates from an rpa object |
hyperparameter.update | Update hyperparameters. |
online.quantile | Quantile normalization tools for online preprocessing. |
plot-method | Class "rpa.list" |
plot.rpa | Plot RPA results and probe-level data for a specific probeset. |
qnorm.basis.online | Quantile normalization tools for online preprocessing. |
RPA | RPA: probabilistic analysis of probe reliability and gene expression |
rpa | RPA for preprocessing. |
rpa-class | Class "rpa" |
rpa.fit | rpa.fit |
rpa.fit-class | Class "rpa.fit" |
RPA.iteration | Estimating model parameters d and sigma2. |
rpa.list-class | Class "rpa.list" |
rpa.online | RPA-online for preprocessing very large expression data sets. |
rpa.plot | Plot RPA results and probe-level data for a specified probeset. |
RPA.pointestimate | Computing point estimate for the model parameters for all probe sets. |
RPA.preprocess | Preprocess AffyBatch object for RPA. |
rpa2eset | Coerce 'rpa' object into an 'ExpressionSet' |
s2.update | Variance update. |
sample.probeset | Toydata generator for probeset data. |
show-method | Class "rpa" |
summarize.batches | Summarize batches |
[-method | Class "rpa" |
[[-method | Class "rpa" |