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NCI Data Science Learning Exchange webinar:

Generating Molecular Features for Drug Function Classification

Presented by S. Ravichandran, Ph.D., BIDS, Frederick National Laboratory for Cancer Research (FNLCR)

To begin:

  • Click the launch Binder button below to begin tutorial using the dynamic version of predict-drugclass.ipynb. Binder

  • Please note that Binder server setup on the cloud will take < 3 minutes at most. You will first see a Binder page with some log messages. After the setup, you will see an instance of Jupyer notebook in your browser. Click the Jupyter notebook, predict-drugclass.ipynb, to begin the tutorial.

  • Binder does not work with Safari on Mac OS, instead use the Chrome browser. If you are on Windows, please use Chrome.

  • If you have trouble with Binder, click predict-drugclass.ipynb above to view a static Python JupyterNotebook.

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