Preprocessing / Remove missing values


Removes all genes that have at least one missing value in the experiment.



All genes that contain at least one missing value are excluded from the data. This tool is suggested to be used after cDNA/Agilent normalization, since these might generate missing values that need to be processed before, e.g., clustering or statistical tests. A good preprocessing order might be to first impute these missing values, and after that remove all the remaining missing values using this tool.


A tab-delimited text-file containing the cut-down dataset.