Cancer Type/Site Classification Using Deep Learning

Learn how to develop deep-learning models for tumor/cancer site classification (such as thyroid carcinoma, lung adenocarcinoma).

This two-part workshop demonstrates how deep learning can be used to classify different types of cancer.

• Part I focuses on data preparation, starting with genomic data.
• Part II demonstrates how to create a deep learning model, with hands-on instruction on how to use the processed data to build a convolutional neural network (CNN) model that can classify different cancer types.

You can see preliminary workshop materials (Jupyter notebooks and documentation) on the GitHub ML-TC1 repository (https://github.com/ravichas/ML-TC1).