Machine learning for translational medicine
In biomedical sciences, the increasing amount of available high through put data brings many challenges. The collection of such data usually results in large number of predictor genes and few samples, possibly also with high noise levels. Such problems are associated to the so called "curse of...
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King's College London (University of London)
2013
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631317 |