GenoKey has developed and released a project workflow for analysis of case-control studies using its combinatorial data mining platform technology, to help researchers get meaning from complex sets of human, animal and even plant data.
Case-control studies allow researchers to investigate existing sets of longitudinal data. Examples include combining test results and information from electronic medical records from people throughout the course of their disease and comparing this with healthy controls to find out more about the course of disease and its diagnosis, or tracking and comparing data from plant studies, looking at normal and abnormal development.
GenoKey’s data mining techniques help researchers to analyse many different types of data, from genetic information to prescribing histories and results from blood and tissue analysis. It can handle different volumes of data, from small proof-of-concept studies, right through to longitudinal studies involving tens of thousands of patients and controls, including millions of different biomarkers.
“Whole organisms, from plants to people, are very complicated, and diseases generally result from a mixture of different environmental, lifestyle and genetic factors. Our combinatorial data mining platform allows researchers to combine a number of different genetic and clinical biomarkers to find significant patterns,” says Gert L. Moeller CTO GenoKey.
For more information on the project workflow please see here Example of Project Workflow