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Author:
None
Summary:
A comprehensive LC-MS metabolomics quality-control and preprocessing package that provides an object-oriented pipeline for dataset construction, sample and feature filtering, signal drift and batch-effect correction, missing-value imputation, normalization, quality assessment, and report generation.
Latest version:
1.1.4
Required dependencies:
cairosvg
|
ipython
|
jinja2
|
joblib
|
loguru
|
matplotlib
|
numba
|
numpy
|
pandas
|
patchworklib
|
plotnine
|
psutil
|
py-cpuinfo
|
pydantic
|
pypandoc
|
scikit-learn
|
scipy
|
seaborn
|
svgutils
|
tabulate
|
tomli
|
tqdm
Optional dependencies:
pytest
|
rpy2
|
weasyprint
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