Opportunities and Challenges of Multiomics Analysis

The multiomics approach by converging diverse omics aspects into a single platform isgetting attention as a new future. The interrelation of different data layers has beenshown to provide multidimensional insights into the biological processes. Through sucha combinatorial approach it becomes much easier to determine the functionalrelationships between different data sets. However, it is a challenging approach dueto differences in experimental design, analytical platform and data size. But theresulting interpretations and findings can help to explore the unseen relationships thathave been hidden on a single platform. Multiomics data integration requires touseseveral statistical approaches. In this presentation, we will discuss the potential issuesof integrating data sets as well as conventional and new statistical approaches includingsupervised and unsupervised statistical techniques.
Citation Formats
S. Özcan Kabasakal, “Opportunities and Challenges of Multiomics Analysis,” Belgrade, Serbia, 2019, p. 19, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72171.