Machine and Deep Learning Methods for Predicting 3D Genome Organization

Machine learning methods are crucial for predicting 3D genome organization by utilizing genomic features and chromatin interactions. The author's main thesis is that machine learning tools can enhance the resolution and completeness of current catalogs of 3D structures.