Data-Driven Logistic Regression Ensembles With Applications in Genomics
数据驱动的逻辑回归集成方法及其在基因组学中的应用
Advances in data collecting technologies in genomics have significantly increased the need for tools designed to study the genetic basis of many diseases. Effective statistical methods should excel in both prediction accuracy and biomarker identification. We introduce a novel approach to high-dimensional binary classification that integrates regularization with ensembling techniques. The method constructs compact ensembles of interpretable models derived by optimizing a…