Artificial Intelligence and Machine Learning for Analysis of Multi-omics

Development of modern and advanced high-throughput technologies in omics measurement and analysis platforms, it has become an integral part for biomedical studies to utilize these data to solve complexity of biological systems. Data obtained from different sources of omics may be useful to draw important conclusions and working of system biology using machine learning based predictive algorithms. By integrating data generated from different omics disciplines, researchers can uncover complex relationships and interactions within biological systems. It may play a significant role to identify biomarkers for diseases and understand how genetic as well as environmental factors influence health. This technological advancement may play an important role in the development of precision medicines. It also offers multidisciplinary professionals insight by utilizing machine learning expertise in multi-omics research.