Preprocessing / Impute missing values


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



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.


A tabular text file with intensity values for the genes.