Neural Networks and Nucleotides: AI in Genomic Manufacturing

Deep learning techniques are increasingly explored in genomic prediction, showing promise in improving prediction accuracy. They have applications in gene expression characterization, regulatory genomics, functional genomics, and structural genomics. The study employed generative models to generate artificial genomic sequences and explored challenges such as computational complexity and privacy concerns.