Metadata-Version: 2.1
Name: secimtools
Version: 22.3.23
Summary: 'Metabolomics tools from the SECIM project',
Home-page: https://github.com/secimTools/SECIMTools
Author: McIntyre Lab, Universify of Florida
Author-email: om@rc.ufl.edu
License: MIT
Keywords: metabolomics secim anova pca random-forest
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

SECIMTools project aims to develop a suite of tools for processing of metabolomics data, which can
be run in a standalone mode or via Galaxy Genomics Framework.

The SECIMTools a set of python tools that are available both as standalone and wrapped for use in
Galaxy. The suite includes a comprehensive set of quality control metrics (retention time window
evaluation and various peak evaluation tools), visualization techniques (hierarchical cluster
heatmap, principal component analysis, linear discriminant analysis, modular modularity
clustering), basic statistical analysis methods (partial least squares - discriminant analysis,
analysis of variance), advanced classification methods (random forest, support vector machines),
and advanced variable selection tools (least absolute shrinkage and selection operator LASSO and
Elastic Net).


