Machine Learning Notebooks

Machine learning methods have enabled researchers to leverage and integrate the vast amounts of diverse cancer data to reveal new insights, develop better diagnostics, and improve therapy. ISB-CGC offers examples of how to use Google Cloud resources to train and use machine learning models for a variety of cancer applications and datasets.

How to build an RNA-seq logistic regression classifier

Python

R

How to build an RNA-seq logistic regression classifier with BigQuery ML

Python

How to perform nearest centroid classification using BigQuery

Python

R

How to predict cancer survival with BigQuery ML

Python

How to predict cancer survival with TensorFlow

Python


Have feedback or corrections? Please email us at feedback@isb-cgc.org.