Feature Selection for Data Integration with Mixed Multi-view Data

27 Mar 2019Yulia BakerTiffany M. TangGenevera I. Allen

Data integration methods that analyze multiple sources of data simultaneously can often provide more holistic insights than can separate inquiries of each data source. Motivated by the advantages of data integration in the era of "big data", we investigate feature selection for high-dimensional multi-view data with mixed data types (e.g. continuous, binary, count-valued)... (read more)

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