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MIOPY: Python tool to study miRNA-mRNA relationships.

MIOPY is a Python3 tool that allows studying the miRNA/mRNA interaction in several different ways. MIOPY applies state-of-the-art methods to predict miRNA targets through expression data. MIOPY includes 40 pre-process prediction tools to improve the results. Finally, MIOPY uses state-of-the-art machine learning methods to apply a feature selection in order to identify prognostic biomarker signatures.

The four main types of analyses available in MIOPY are:

  • Correlation and regularized regression analysis
  • microRNA target prediction
  • Identification of prognostic biomarkers and survival analyses
  • Identification of predictive biomarkers and classification

MIOPY was developed to handle the analyses in the MIO-Webtool. Please check the MIO repository to run MIO locally. MIOPY includes all the functions available in MIO.

We are happy about feedback and welcome contributions!

Getting started

Please check the jupyter-notebook with that same Use cases example present in the P. Monfort-Lanzas et al. publication.

Installation

MIOPY was developed using Python 3.8.8.

There are several alternative options to install MIOPY:

git clone [email protected]:icbi-lab/miopy.git && cd miopy && python3 setup.py install

Release notes

See the release section.

Contact

Please use the issue tracker.

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