JSM Preliminary Online Program
This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


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Legend: = Applied Session, = Theme Session, = Presenter, Sheraton Seattle Hotel & Towers = “S”
Washington State Convention & Trade Center = “CC”, Grand Hyatt Seattle = “H”

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185 Applied Session Mon, 8/7/06, 2:00 PM - 3:50 PM CC-618
Applications of Machine Learning Techniques in Bioinformatics and Other Areas - Topic Contributed - Papers
Biometrics Section, Section on Nonparametric Statistics, ENAR
Organizer(s): Sujay Datta, Texas A&M University
Chair(s): Sujay Datta, Texas A&M University
     2:05 PM   Graph-Based Classifiers in Semi-Supervised LearningGeorge Michailidis, University of Michigan
     2:25 PM   Estimating Differential Equation Models of Gene Expression DynamicsTheodore Perkins, McGill University
     2:45 PM   Statistical Models on Protein Complex AlignmentsTony Chiang, Fred Hutchinson Cancer Research Center
     3:05 PM   Neural Network Imputation: an Experience with the National Resources Inventory SurveyTapabrata Maiti, Iowa State University
     3:25 PM   Analyzing Gene Expression Data Using Tree-Based ModelsBret Musser, Merck Research Laboratories
     3:45 PM   Floor Discussion
 

JSM 2006 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised April, 2006