Pre-training is an initial learning phase, where gLMs are trained on large amounts of DNA sequence data, to learn the underlying patterns and grammar of the genome. Just as human language grammar ...

Supervised deep learning models have a dazzling track record in many computational genomics tasks, but their success relies on vast (and often costly) experimental data for training. Recently, genomic ...