This repository houses an analysis of the famous Golub dataset, using a couple different classifiers. The analysis was done in Python using scikit-learn. To use the notebook (file that ends with .ipynb), first install the environment with conda: conda create --name Golub_py --file environment.txt
this will create an environment named Golub_py.
Open a command prompt/ terminal/ shell in the directory into which you cloned this repository.
If you are on Windows, to activate the environment, you type: activate Golub_py
On a Mac or Linux, to activate the environment, you type: source activate Golub_py
Now to open the notebook, simply type: jupyter notebook
--> a tab will open in your browser from which you can simply select the Jupyter Notebook and now you can run and modify it in your browser.
Golub Dataset: http://portals.broadinstitute.org/cgi-bin/cancer/publications/pub_paper.cgi?mode=view&paper_id=43