Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
This chapter describes methods that have been used by many agencies for a long period of time to create temporal factor groups and assign counts to them based on easily identifiable characteristics.