Diagnostics in High Dimension
*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.
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
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC