Author

Lisa M. Bramer

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Open access Jul 2025

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

Machine and deep learning have grown in popularity and use in biological research over the last decade but still present challenges in interpretability of the fitted model. The development and use of metrics to determine features driving predictions and increase model interpretability continues to be an open area of re...

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