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Western Kentucky University
EMERGENCY ALERT SYSTEM:

WKU WEATHER ALERT:

Classes beginning at 4pm today on the WKU Bowling Green campus are canceled. ALL Thursday and Friday classes on all campuses are also canceled. Online classes will proceed as scheduled. WKU offices will be closed on Thursday, with essential personnel reporting.

WKU Owensboro closed at noon today (Wed., 3/4).

WKU Glasgow evening classes that begin at 5 pm today will be canceled and the WKU Glasgow campus will close at 7 pm.

WKU Elizabethtown-Fort Knox campus will close today at 3 pm and will remain closed Thurs., Fri, and Sat., March 5-7.

Should inclement weather make travel hazardous, residence halls will remain open until Saturday. Follow WKU Housing & Residence Life for updates.

The high school regional basketball tournament games scheduled for tonight have been canceled. Games will be rescheduled for Friday/Saturday. Follow WKU News for the latest updates. #WKUAlert

Research Projects

REU Project 17—Development of statistical methods for analysis of high-dimensional data—Dr. Michael L. Collyer, Biology Department


Within the field of biotechnology, various disciplines use high-dimensional data (e.g., DNA microarray data, mass spectrometry protein data, morphometric data). Statistical methods to analyze high-dimensional data are not well established, as the development of methods lags behind the development of data-acquisition technology. Currently, a paradox exists because using high-dimensional data from organisms potentially helps researchers better discern characteristic differences among experimental or observational groups, yet typical statistical tests used by researchers lose inferential power as data dimensionality increases. As a result, researchers often employ ad hoc methods to reduce the number of variables they analyze, in order to maintain statistical power in their analyses. Research in my lab is directed at developing Monte Carlo sampling methods for high-dimensional data that preserve or even increase statistical power in hypothesis tests, without eliminating data. Students will be involved with research projects that collect 2-D and 3-D morphological data, which provide empirical data sets to help develop this methodology. Collaborative research with other data types is also possible.


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 Last Modified 9/25/14