Missing values imputation from a SummarizedExperiment object

This method is a wrapper to the function impute.pa2() adapted to objects of class SummarizedExperiment.

Usage

wrapper.impute.pa2(
  obj,
  design,
  q.min = 0,
  q.norm = 3,
  eps = 0,
  distribution = "unif"
)

obj: An object of class SummarizedExperiment.
design: A data.frame containing the columns "quantCols" corresponding to the samples name and "Condition" to the condition of each sample.
q.min: A quantile value of the observed values allowing defining the maximal value which can be generated. This maximal value is defined by the quantile q.min of the observed values distribution minus eps. Default is 0 (the maximal value is the minimum of observed values minus eps).
q.norm: A quantile value of a normal distribution allowing defining the minimal value which can be generated. Default is 3 (the minimal value is the maximal value minus qn*median(sd(observed values)) where sd is the standard deviation of a row in a condition).
eps: A value allowing defining the maximal value which can be generated. This maximal value is defined by the quantile q.min of the observed values distribution minus eps. Default is 0.
distribution: The type of distribution used. Values are unif (default) or beta.

The object obj which has been imputed

Thomas Burger, Samuel Wieczorek

NULL
#> NULL