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 |
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How to build an RNA-seq logistic regression classifier with BigQuery ML |
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How to perform nearest centroid classification using BigQuery |
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How to predict cancer survival with BigQuery ML |
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How to predict cancer survival with TensorFlow |