perseus:user:activities:matrixprocessing:normalization:zscore

**Type:**Matrix Processing**Heading:**Normalization

The mean of each row/column is subtracted from each value. The result is then divided by the standard deviation of the row/column.

Output: Normalized expression matrix.

Specifies whether the z-scoring is performed on rows or columns (default: Rows).

This parameter is just relevant, if the “Matrix access” is set to “Rows”. It specifies, whether the normalization should be applied separately on groups (default: <No grouping>).

If checked, the median and not the mean of each row/column is used for the calculation of the z-score of each matrix cell (default: unchecked).

If checked, the mean and the standard deviation used for the calculation are reported (default: unchecked). In case the z-scoring is based on rows (“Matrix access” = “Rows”), the calculated mean and standard deviation appear in 2 newly generated numeric columns called “Mean” and “Std. dev.” containing the mean and standard deviation of each row. In case the calculation is based on columns (“Matrix access” = “Columns”), 2 new numeric rows are generated containing the mean and standard deviation of each column.

perseus/user/activities/matrixprocessing/normalization/zscore.txt · Last modified: 2015/11/23 14:47 (external edit)

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