Positional Interpretation of Cis-Regulatory Code and Nucleosome Organization with Deep Learning Models
Charles E. McAnany, Melanie Weilert, Grishma Mehta, Fahad Kamulegeya, Jennifer Gardner, Jacob Matthew Schreiber, Anshul Bharat Kundaje, Julia Zeitlinger
This paper introduces PISA, a tool for interpreting sequence-to-function neural networks, enabling the discovery of nucleosome-positioning motifs and understanding cis-regulatory code through MNase-seq data.
Nature Communications · Jul 4, 2026Peer-reviewedGenomics