There is often a need to classify time-varying curves into different categories. For example, cell growth curves may have different shape types (e.g., diauxic growth) that characterize the growth behavior of cells. These different curve types make it difficult to automatically and accurately pull characterizing parameters (e.g., lag to start-of-growth, growth rates, final growth level, etc.) out of the curves.

JMP Pro's Functional Data Explorer (FDE) can be used to classify these curves into certain types. Once classified, FDE filters noise out of the curves, greatly simplifying the assessment of critical growth parameters.

Real-world data is used to demonstrate how FDE in JMP Pro can perform these operations.