Process of discovering patterns in large data sets using computational methods at the intersection of statistics, database systems, or machine learning.
How to design experiments that accelerate knowledgediscovery on complex biological landscapes remains a tantalizing question.
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Biological ontologies are frequently employed in these studies, which provides researchers with extensive opportunities for knowledgediscovery through computational data analysis.
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A first prototype of the decision support tool for knowledgediscovery and gene prioritization is available, but a more complete release is still under development.