Author

Lisa M. Bramer

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Open access Jul 2025

Consistency of feature attribution in deep learning architectures for multi-omics

The findings indicate that in the case of the human host cellular response datasets, the rankings of features resulting from SHAP are sensitive to the choice of architecture as well as different random initializations of weights, suggesting caution and a recommendation for further evaluation when using attribution meth...

Daniel M Claborne, Javier Flores, Samantha Erwin et al. · Scientific Reports · 1 citation

Open access Aug 2026

A benchmarking study of feature screening approaches across type 1 diabetes omics studies classification settings

This manuscript evaluates sure screening, a class of filter-based feature selection methods which provide analytical guarantees for true feature set retention and identified BcorSIS as the most effective and computationally efficient screening method across various omics datasets.

Erik Vonkaenel, Lisa M. Bramer, J. Flores et al. · PLoS Computational Biology · 0 citations