Methodology Catalogue

Ki uses a range of methodologies because analyzing different kinds of data in different ways reveals more insights. Some of these methodologies (e.g., functional principal component analysis and machine learning) are based entirely on observed patterns within data. Others (e.g., mathematical models of biological systems) are driven by statistical assumptions about the data based on researchers’ biological understanding of the process being modeled. Many methods lie somewhere in the middle of this spectrum of assumptions.