Integrating long-range regulatory interactions to predict gene expression using graph convolutional networks
Jeremy Bigness, Xavier Loinaz, Shalin S. Patel, Erica Larschan, Ritambhara Singh
The paper introduces GC-MERGE, a graph convolutional model that integrates spatial genomic organization and histone modifications to predict gene expression and interpret regulatory factors.
Journal of Computational Biology · Mar 24, 2022Peer-reviewedBioinformatics