Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using sparse logistic regression
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We utilised Sparse Logistic Regression (SLR) to build two sparse and interpretable predictors. The first one (SLR-65) was based on a signature consisting of the top 65 probe sets (59 genes) differentially expressed between Pathologic Complete Response (PCR) an... ...
