Prediction of PIK3CA mutations from cancer gene expression data.

Abstract excerpt

Breast cancers with PIK3CA mutations can be treated with PIK3CA inhibitors in hormone receptor-positive HER2 negative subtypes. We applied a supervised elastic net penalized logistic regression model to predict PIK3CA mutations from gene expression data. This regression approach was applied to predict modeling using the TCGA pan-cancer dataset. Approximately 10,000 cases were available for PIK3CA mutation and...

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• Share to Class I Phosphatidylinositol 3-Kinases
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