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• Reference projects
• Dr. Thuerk's PhD
• Extracting Physical laws
     out of data
• Stock prediction
• Genotype – Phenotype
     coupling
• Patient data analysis
• Screening Data Analyzer
• Sensor reduction
• Pseudo random number
     generator
 
This project was performed for a leading plant breeding company.
The goal was to find out which alleles influence the harvest.
1400 datasets with given genotypes were supplied.
Every dataset contained one phenotype, coded as a real number.
Every dataset contained 800 alleles.
Results:
• 200 genes showed no genetic variation and were eliminated.
• Matrix found out which 4 alleles predominately influence
  the harvest.



18 independent runs of the feature selection process were executed. For each run the set of the 15 most important alleles was determined. The statistics of the most frequent alleles is displayed.

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