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Machine Learning Notebooks
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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.

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   * - How to build an RNA-seq logistic regression classifier
     - `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/MachineLearning/How_to_build_an_RNAseq_logistic_regression_classifier.ipynb>`_
     - `R <https://github.com/isb-cgc/Community-Notebooks/blob/master/MachineLearning/How_to_build_an_RNAseq_logistic_regression_classifier_R.ipynb>`_ 
   * - How to build an RNA-seq logistic regression classifier with BigQuery ML
     - `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/MachineLearning/How_to_build_an_RNAseq_logistic_regression_classifier_with_BigQuery_ML.ipynb>`_
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   * - How to perform nearest centroid classification using BigQuery
     - `Python <https://nbviewer.jupyter.org/github/isb-cgc/Community-Notebooks/blob/master/Notebooks/How_to_perform_Nearest_Centroid_Classification_with_BigQuery.ipynb>`_
     - `R <https://github.com/isb-cgc/Community-Notebooks/blob/master/Notebooks/How_to_perform_Nearest_Centroid_Classification_with_BigQuery.md>`_
   * - How to predict cancer survival with BigQuery ML
     - `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/MachineLearning/How_to_predict_cancer_survival_with_BigQueryML.ipynb>`_
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   * - How to predict cancer survival with TensorFlow
     - `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/MachineLearning/How_to_predict_cancer_survival_with_TensorFlow.ipynb>`_
     -