Benchmark of BINN, GraphPath, and PATH on 2622 TCGA patients shows PATH best for targeted therapy, BINN for survival, none useful for radiation, with GraphPath at 0.92 AUROC on prostate targeted therapy.
Nature Biotechnology38 (2020), 675–678
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Introduces symmetry-aware convex shrinkage for high-dimensional covariance estimation by selecting a symmetry group via held-out negative log-likelihood and proving regret bounds plus dominance over Ledoit-Wolf under a match condition.
Proposes an inferential framework to test differences in categorical Gini correlations for predictor importance in classification, establishing asymptotic normality and consistency while accommodating unequal dimensions and dependence.
citing papers explorer
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TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification
Benchmark of BINN, GraphPath, and PATH on 2622 TCGA patients shows PATH best for targeted therapy, BINN for survival, none useful for radiation, with GraphPath at 0.92 AUROC on prostate targeted therapy.
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Symmetry-Aware Convex Shrinkage for High-Dimensional Covariance Estimation
Introduces symmetry-aware convex shrinkage for high-dimensional covariance estimation by selecting a symmetry group via held-out negative log-likelihood and proving regret bounds plus dominance over Ledoit-Wolf under a match condition.
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Comparing Two Categorical Gini Correlations with Applications to Classification Problems
Proposes an inferential framework to test differences in categorical Gini correlations for predictor importance in classification, establishing asymptotic normality and consistency while accommodating unequal dimensions and dependence.