Use gene expression and clinical data together with ML to predict markers for therapy responses
View the Project on GitHub Fallahi-Bioinformatics-Lab/Melanoma-Cancer-marker-prediction
This work is inspired by this website.
Here, I am adapting several codes in to one notebook to do gene expression analysis- I mainly use Jupyter Notebook but also include some extra codes as stated throughout the codes. The pipline has been divided into seperate steps clrealy marked as step I , II , etc. I have alos included one notebook for the merged pipline (mrged_notebook) that could be easily implemented and used for the entire analysis.
You can use the tcga.R file to download necessary data for your prohject.