sayalaruano/rnaseq_cardiomyopathies_pred

Binary and multi-class classifiers to predict samples of non-failure and cardiomyopathies using RNAseq data

Dilated cardiomyopathy (DCM) prediction app using RNA-seq data

Table of contents:

• About the web application
• Structure of the repository
• Credits
• Further details
• Contact

About the project

App to predict if a patient has DCM or not based on RNA-seq data.

Structure of the repository

The main files and directories of this repository are:

File	Description
RandomForestClassifier_NF_DCM_impgenes.bin	Bin file of the best classifier
streamlit_app.py	Script for the streamlit web application
requirements.txt	File with names of the packages required for the streamlit web application
style.css	css file to customize specific feature of the web application

Credits

• This app was developed for a group project of a course from the Master's degree in Systems Biology at Maastricht University.
• Developed by Sebastián Ayala Ruano.
• The training dataset was obtained from the The Myocardial Applied Genomics Network (MAGNet) project.

Further details

More details about the exploratory data analysis, data preparation, and model selection are available in this GitHub repository.

Contact

If you have comments or suggestions about this project, you can open an issue in this repository, or email me at [email protected].