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Oliver Kohlbacher, Knut Reinert

Differential Analysis in Proteomics: Experimental Methods, Algorithmic Challenges

With the large genome projects more or less finished, exploring the proteomes, i.e., the gene products, comes into focus. Proteomics promises fundamental insights into human biology as well as a plethora of applications in medical diagnostics and therapeutics. We describe current experimental techniques in the field. These techniques produce large amounts of complex data that are unmanageable without appropriate algorithmic approaches which use techniques from statistics, machine learning, graph theory, and image analysis.

it – Information Technology (vormals it+ti), Oldenbourg Wissenschaftsverlag

Print ISSN: 1611-2776
Volume: 46, 01/2004
Pages: 031

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