Arguments
expressionSet
An ExpressionSet
object that contains data to be UPC transformed. Required.
sequenceFeatureName
Optionally, the DNA sequence corresponding to each feature (e.g., microarray probe) can be specified in the ExpressionSet
object's metadata. If specified, the UPC transformation will take the G/C content and length of each feature into account. Optional.
modelType
Various models can be used for the mixture model to differentiate between active and inactive probes. The default is the normal-normal model (``nn''), which uses the normal distribution. Other available options are log-normal (``ln''), negative-binomial (``nb''), and normal-normal Bayes (``nn_bayes'').
convThreshold
Convergence threshold that determines at what point the mixture-model parameters have stabilized. The default value should be suitable in most cases. However, if the model fails to converge (or converges too quickly), it may be useful to adjust this value. (This parameter is optional.)
higherValuesIndicateHigherExpression
In most cases, higher expression values indicate relatively high expression. However, if higher values indicate relatively low expresssion, this parameter can be used to indicate such. Accordingly, UPC values closer to one will indicate higher expression, and UPC values closer to zero will indicate the opposite. (This parameter is optional.)
verbose
Whether to output more detailed status information as processing occurs. Default is TRUE.