Browsing Mathematics & Statistics Department by Subject "Variable selection"
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Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches
(De Gruyter, 2016-08)Modern biological experiments often involve high-dimensional data with thousands or more variables. A challenging problem is to identify the key variables that are related to a specific disease. Confounding this task is ...