As a step towards solving this problem, we have developed a coarse-to-refined model called dynamic filter to identify abnormalities in plant photosynthesis phenotype data by comparing light responses of photosynthesis using a simplified kinetic model of photosynthesis.  Dynamic filter employs an expectation-maximization process to adjust the kinetic model in coarse and refined regions to identify both abnormalities and biological outliers.  Software available at www.msu.edu/%7Ejinchen/DynamicFilter .
Dynamic Filter
As a step towards solving this problem, we have developed a coarse-to-refined model called dynamic filter to identify abnormalities in plant photosynthesis phenotype data by comparing light responses of photosynthesis using a simplified kinetic model of photosynthesis.  Dynamic filter employs an expectation-maximization process to adjust the kinetic model in coarse and refined regions to identify both abnormalities and biological outliers.  Software available at www.msu.edu/%7Ejinchen/DynamicFilter .
dynamic filter
Software available at www.msu.edu/%7Ejinchen/DynamicFilter .
www.msu.edu/%7Ejinchen/DynamicFilter