Machine learning in genetics: A review of basics, methods, and instances of machine learning in genetics

Over the past decades, artificial intelligence and machine learning in particular have entered nearly every area of science, including genetics. Artificial intelligence has existed for about ۷۰ years, despite its recent fame. Thus, in the past decade, developments in hardware processing power have made machine learning more accessible than ever, presenting a significant potential for genetic researchers. Now, in the age of big data and considering current breakthroughs in biological data generation, the utilization of machine learning has become vital because of its ability to conduct deep analysis and uncover hidden patterns and relationships. In this review article, we will explain some essential concepts of machine learning, outline the principles of their operation, briefly examine three articles that have utilized machine learning in genetics, and conclude with a discussion about their merits and downsides.

کلیدواژه ها:

Artificial intelligence ، Bioinformatics ، Deep Learning ، Supervised Learning ، Unsupervised Learning