Imputation of peptides with a random value.
For each row (peptide), this function imputes missing values by random values following a Gaussian distribution.
A data matrix containing numeric and missing values. Each column of this matrix is assumed to correspond to an experimental sample, and each row to an identified peptide.
A vector of factors indicating the biological condition to which each column (experimental sample) belongs.
For each row (peptide), this function imputes missing values by random values following a Gaussian distribution centered on the mean of the observed values in the condition and with a standard deviation equal to the first quartile of the distribution of the standard deviation the values observed for all the peptides. Rows with only missing values in a condition are not imputed (the
impute.pa function can be used for this purpose).
The input matrix
tab with imputed values instead of missing values.
Quentin Giai Gianetto <email@example.com>
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