BioinformaticsbioRxivPreprint
Neural Networks beyond explainability: Selective inference for sequence motifs
Antoine Villié, Philippe Veber, Yohann de Castro, Laurent Jacob
The paper introduces SEISM, a selective inference method to test the association between sequence motifs extracted from neural networks and phenotypes, improving analysis in regulatory genomics and GWAS.