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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62
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Sun, 8/6/06, 4:00 PM - 5:50 PM
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CC-205
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Measuring Gene Expression - Contributed - Papers
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Biometrics Section, WNAR, ENAR
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Chair(s): Fadoua Balabdaoui, Institut für Mathematische Stochastik
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4:05 PM
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Clustering of Time-Course Gene Expression Data Using Functional Data Analysis —  Joon Jin Song, University of Arkansas; Ho-Jin Lee, Schering-Plough Corporation; Jeffrey S. Morris, M. D. Anderson Cancer Center; Sanghoon Kang, Oak Ridge National Laboratory
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4:20 PM
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Dynamic Network Analysis of Time-Course Gene Expression Data — Donatello Telesca, University of Washington; Lurdes Y. T. Inoue, University of Washington
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4:35 PM
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A Bayes Approach to Virus Gene Time Course Expression Data — I-shou Chang, National Health Research Institutes
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4:50 PM
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Comparing Distance Measures for Clustering Time-Course Microarray Data — Theresa Scharl, Vienna University of Technology; Friedrich Leisch, University of Munich
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5:05 PM
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Bayesian Markov Chain Monte Carlo and Restricted Maximum Likelihood Study of Gene Expression Patterns across Time — Feng Hong, University of Illinois; Sandra Rodriguez-Zas, University of Illinois
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5:20 PM
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Semiparametric Analysis of Gene Expression Patterns across Ages — Sandra Rodriguez-Zas, University of Illinois; Bruce Southey, University of Illinois; Gene Robinson, University of Illinois
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5:35 PM
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Connectivity, Module-Conformity, and Significance: Understanding Gene Coexpression Network Methods — Jun Dong, University of California, Los Angeles; Steve Horvath, University of California, Los Angeles; Andy Yip, National University of Singapore
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