A new simplex approach to highlight multi-scale feeding behaviors in forager species from stomach contents: Application to insectivore lizard population

Mini-review on the applications and perspectives of a new simplex machine learning approach in chemistry and biology

“…Simplex approach was applied on a dataset of 45 stomach contents of lizard species (Phrynosoma douglassi) in order to analyze its foraging behavior toward several arthropod type preys (Fig. 3c) [9]. After classification of stomach content profiles into different diets, simplex analysis helped to extract in silico a serial of positive and negative global trends between several prey types.…”

“…It was developed in 1999 by Semmar during his PhD on flavonoids of Astragalus genus [7,8]. After this initiative work on plant metabolomics, application of the simulation approach for highlighting regulation processes of mass distribution variables favoring polymorphic development or system diversification was extended to different fields including structural chemistry, clinical pharmacology and animal feeding behavior [9][10][11].…”

Applications of machine learning and artificial intelligence in marine science: all articles

“…The current work presents a new simulation approach based on population stratification, simplex mixture design, and bootstrap sampling technique. Simplex rule is appropriate for mass distribution analysis between system constituents and through organization ways obeying to mass conservation law (Semmar and Roux, 2014). Stratification and bootstrap provided robust sampling ways for heteroscedasticity treatment and variability integration, respectively.…”