TheGMax applications notes, brochures, reports, etc.

Download PowerPoint presentation of TheGMax (PDF)

Download table with typical application areas (PDF)

Download the following article "A good method has two key properties" (PDF) by professor Douglas Kell, one of the "inventors" of the genomic computing technique used in TheGMax.

Professor Douglas Kell suggests that genetic computing can offer a solution to the data mining and predictive modelling challenges of today. Download his article (PDF).

Douglas Kell further discusses the issue "Genotype–phenotype mapping: genes as computer programs" in the following publication (PDF)

Optimizing experimental conditions for the effective analysis of intact proteins by mass spectrometry is challenging, as many analytical factors influence the spectral quality. To assess the contribution of different experimental variables to the fitness, a group of scientists has performed genetic programming analysis of a data set using the TheGMax program. Read more about this in the following publication (PDF).

More application reports describing the use of TheGMax in life sciences:

Differentiation of Phytophthora infestans Sporangia from Other Airborne Biological Particles by Flow Cytometry, download PDF.

Rapid and Quantitative Detection of the Microbial Spoilage of Meat by Fourier Transform Infrared Spectroscopy and Machine Learning
, download PDF.

Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules, download PDF.

Genomic Computing. Explanatory Analysis of Plant Expression Profiling Data Using Machine Learning, download PDF.

Closed-Loop, Multiobjective Optimization of Analytical Instrumentation: Gas Chromatography/ Time-of-Flight Mass Spectrometry of the Metabolomes of Human Serum and of Yeast Fermentations, download (PDF)