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Although statistical selection of differentially expressed genes, e.g., PAM50, has been successful to classify breast cancer subtypes, understanding breast cancer in terms of biological functions or pathways is still limited.
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Because of such characteristics, combining methods from different approaches would be more successful to classify of a wide range of protein functions than using a single method.
A range of machine learning methods were compared and BioHEL proved to be successful in classifying both the ProteinProphet and emPAI datasets.
These features are a natural consequence of the physico-chemical properties of proteins and their combination is successful in classifying CDS and non-coding DNA (introns) with a success rate >95% above 350 bp.
Additionally, in the final results, conducting empirical research is successful in classifying possible types of interdependence between the stock markets and the government bond markets.
This approach was successful in classifying Hox-proteins with differing homeodomains, but the relationships of Hox-proteins with nearly identical homeodomains, yet distinct biological functions, could not be resolved.
In this case, NIRS in combination with cluster analysis was successful in classifying Hong-Qu effectively 26, 27.
The discriminant analysis was successful into correctly classifying 83.9% of the cases; 95% of the non-extraction and 53.8% of the extraction cases were correctly classified.
The low molecular proteome of diabetes mellitus type 2 patients with normoalbuminuria (controls) and matched diabetes patients with diabetic nephropathy (cases) was analyzed in a blinded study (PREDICTIONS study) by capillary electrophoresis-mass spectrometry (CE-MS), and samples were successful classified using the previously defined biomarker model.
In this case, a successful discriminant model is able to classify each family to its type based on how the family ranked the problems.
After a successful training session, the NN is ready to classify the possible keys.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com