Authors: David A. Selby, Maximilian Sprang, Jan Ewald, Sebastian J. Vollmer. Beyond the black box with biologically informed neural networks.Nature Reviews Genetics(2025).
Published in: Nature Reviews Genetics (2025) https://doi.org/10.1038/s41576-025-00826-1
Machine learning models for multi-omics data often trade off predictive accuracy against biological interpretability. An emerging class of deep learning architectures structurally encode biological knowledge to improve both prediction and explainability. Opportunities and challenges remain for broader adoption.
@article{selby2025,
title = {Beyond the black box with biologically informed neural networks},
author = {David A. Selby and Maximilian Sprang and Jan Ewald and Sebastian J. Vollmer},
year = {2025},
doi = {10.1038/s41576-025-00826-1},
url = {https://doi.org/10.1038/s41576-025-00826-1},
abstract = {Machine learning models for multi-omics data often trade off predictive accuracy against biological interpretability. An emerging class of deep learning architectures structurally encode biological knowledge to improve both prediction and explainability. Opportunities and challenges remain for broader adoption.},
}