Researchers at the Stowers Institute for Medical Research have built an interpretation method that shows, base by base, what a deep-learning model has learned from DNA, and used it to strip a hidden experimental bias out of genomic data. The method, called PISA, is described in a paper published in Nature Communications in August 2026 and announced by the institute on August 25, 2026. Sequence-to-function neural networks take raw DNA as input and predict the readout of genomics experiments…