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!
Please check the jupyter-notebook with that same Use cases example present in the P. Monfort-Lanzas et al. publication.
MIOPY was developed using Python 3.8.8.
There are several alternative options to install MIOPY:
git clone git@github.com:icbi-lab/miopy.git && cd miopy && python3 setup.py install
See the release section.
Please use the issue tracker.