Adding Robust Normalization by MAD #72
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The motivating reason to add this functionality now is described in broadinstitute/lincs-cell-painting#3 (comment) |
This was referenced Mar 6, 2020
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The "robustize" normalization strategy is based on sklearn.preprocessing.RobustScaler, which subtracts the median and then scales data using the interquartile range.
The original cytominer "robust" function subtracts the median and then scales data using the median absolute deviation.
In this pull request, I add
RobustMAD. This includes an option to perform robust scaling using the original cytominer method.