Applications of machine learning and data mining methods to detect associations of rare and common variants with complex traits machine learning methods mlms designed to develop models using high dimensional predictors have been used to analyze genome wide genetic and genomic data to predict risks for complex traits. Written by a team of international experts machine learning and data mining presents an exciting contribution addressing the new challenge it provides an introduction to basic methods and its coverage spans the analysis of numerical data text images and sound most impressively the book describes applications across a wide spectrum of real world problems in domains such as engineering control biology medicine and music. Machine learning and data mining often employ the same methods and overlap significantly but while machine learning focuses on prediction based on known properties learned from the training data data mining focuses on the discovery of previously unknown properties in the data this is the analysis step of knowledge discovery in databases data mining uses many machine learning methods . Machine learning methods mlms designed to develop models using high dimensional predictors have been used to analyze genome wide genetic and genomic data to predict risks for complex traits we summarize the results from six contributions to our genetic analysis workshop 18 working group these investigators applied mlms and data mining to analyses of rare and common genetic variants
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