Metabo_ADNI

Metabolomics data processing for the ADNI data sets. Currently, only supports the Biocrates p180 and Nightingale NMR platforms.

Installation

metabo_adni is distributed as a python package, so install it by running:

pip install metabo_adni

Usage

In the folder with the required datasets, simply run:

clean_files

And metabo_adni will run with the default parameters. Note: do not change the original name of the files.

Options

• -D: define the directory were the files are located. Default, current working directory
• -P: define the platform, either p180 or nmr. Default, p180
• -F: define the fasting file. Default, BIOMARK.csv
• -L: define the directory were the LOD p180 files are located. Default, current working directory
• --mmc: remove metabolites with missing proportions greater than cutoff. Default, 0.2
• --mpc: remove participants with missing proportions greater than cutoff. Default, 0.2
• --cv: remove metabolites with CV values greater than cutoff. Default, 0.2
• --icc: remove metabolites with ICC values lower than cutoff. Default, 0.65
• --log2: apply log2 transformation to metabolite concentration values
• --merge: merge data frames across cohorts
• --zscore: apply zscore transformation to metabolite concentration values
• --winsorize: winsorize extreme values (more than 3 std of mean)
• --remove-moutliers: remove multivariate outliers using the Mahalanobis distance
• --residualize-meds: replace metabolite values with residuals from a regression with medication intake. Note that residuals are scaled to unit variance