winn (White Noise Normalization) package for pre-processing metabolomics data

Winn provides functions for metabolomics data correction using a multi-step pipeline:

1. Median Adjustment by dilution factor.
2. Outlier Adjustment using the MAD method.
3. Drift Correction using autocorrelation-based detrending.
4. Batch Effect Correction using ANOVA-based residualization.
5. Optional Scaling by plate.

If no plate information is supplied, the package auto-detects segments (as plates) using an fkPELT-based approach.

Authors

• Tanmay Tanna