Novel statistical methods for the design and analysis of proteomic experiments for biomarker discovery

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There is an urgent need for new medical tests which can be used to diagnose a disease or to determine how severe a disease is. Such tests can result in earlier and better treatment, increase the chance of recovery and help select the best treatment. A lot of medical research is looking in body fluids such as blood and urine to find proteins (one of the key type of molecules which make up cells and tissues of the body) which could act as markers of disease and be measured in a simple test. Such research uses quite complex technologies and produces very large amounts of data and the purpose of this proposal is to develop the best methods of statistical analysis for this type of data. This is essential so that we reach the right conclusions about whether a marker is a good or bad one.