Publikation
Beyond the black box with biologically informed neural networks
David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer
In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.
Zusammenfassung
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.