Machine learning generates realistic genomes for imaginary humans

Machine learning generates realistic genomes for imaginary humans

Machine learning generates realistic genomes for imaginary humans

Machines, thanks to novel algorithms and advances in computer technology, can now learn complex models and even generate high-quality synthetic data such as photo-realistic images or even resumes of imaginary humans. A study recently published in the international journal PLOS Genetics uses machine learning to mine existing biobanks and generate chunks of human genomes which do not belong to real humans but have the characteristics of real genomes.
Machine learning generates realistic genomes for imaginary humans