Machine Learning in Genomics

Machine learning in genomics involves using computer algorithms to analyze large amounts of genetic data. These algorithms identify patterns and connections within DNA sequences, helping scientists understand how genes influence health, disease, and biological traits. By learning from existing data, machine learning models can predict outcomes like disease risk or responses to treatments, accelerating discoveries and personalization in medicine. Essentially, it’s a way for computers to assist researchers by uncovering insights from complex genetic information that would be difficult and time-consuming to find manually.