This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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284
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #308578 |
Title:
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Modeling and Clustering of Time-Course Data
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Author(s):
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Alejandro Murua*+
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Companies:
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Université de Montréal
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Address:
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Département de mathématiques et de statistique, Montréal, QC, H3C 3J7, Canada
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Keywords:
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clustering ;
time-course ;
smoothing ;
nonlinear differential equation ;
gene-expression ;
finite mixture
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Abstract:
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We present a methodology to simultaneously model and cluster independent replicates of time-course evolution data. We assume that the time course signals arise from non-linear second order differential equations (2NDEs). The signals are smoothed to better estimate the coefficients of these equations. The smoothed time-courses are obtained by penalizing large deviations from these equations. The 2NDE coefficients are used instead of the original signals to cluster the data. The data are embedded into a finite mixture model that allows the simultaneous estimation of parameters and clustering. We have applied this methodology to the analysis and clustering of gene-expressions related to the development of the retina in mice.
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Authors who are presenting talks have a * after their name.
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