Preprocessing / Impute missing values

Description

Fills in the missing values in the data by estimated values.

Parameters

Details

The missing values can be replaced with the mean or median of the array/sample (column) or genes (rows), or they can be estimated using the specified number of closest neighbors (knn). If the maximum number of genes missing either on a row or on a column is larger than the selected number, the missing values will not be estimated. This is implemented in order to protect users from imputing too large a fraction of their dataset, since this will probably affect the result tragically.

Output

A tabular text file with intensity values for the genes.