Diagnostics in High Dimension
View Presentation *Douglas Hawkins, University of Minnesota Keywords: Classification, linear models, diagnostics In recent years, high-dimensional measurements have increasingly become available for diagnosis. The most familiar high-dimensional measures are gene expression arrays, but other settings include spectral, proteomic and metabolomic data. A high-dimensional classifier challenges many of the standard methodologies used in diagnostics, and some issues and solutions will be outlined. Functional data such as emission spectra are a special class of high-dimensional classifier whose continuity creates some modeling opportunities not seen in general high-dimensional settings. These will be outlined and illustrated in the context of cancer diagnosis.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC