Techniques for Multi-Omics Data Incorporating Machine Learning and System Genomics

The constantly growing demand to inaugurate algorithm in genomics system and machine learning in conjunction with multi-omic data for measuring possible genotype-phenotype connections has become immensely favourable in big data science, biomedical computing as well as in precision medicine in recent years. MLSG comprise computer code systems that are utilized to investigate several thousand multi-omics details by high-level scientific research. To examine and incorporate Multi-omics results, this research work inspects MLSG code systems and potential headings. Our research is mainly centered on investigating subsequent methods and advanced structures for MLSG multi-omics program schemes.