DIMACS Workshop on Discrete Mathematical Problems in Computational Biomedicine

April 18 - 20, 2007
DIMACS Center, CoRE Building, Rutgers University

Organizers:

Jie Wang, University of Massachusetts, wang@cs.uml.edu

Weili Wu, University of Texas, weiliwu@utdallas.edu

Workshop Program:

Wednesday, April 18, 2007

 8:00 -  8:45  Breakfast and Registration
 	 
Session A.1 Chair: Weili Wu
 	 
 8:45 -  8:50  Welcome and Opening Remarks 
               Mel Janowitz, DIMACS Associate Director
               Jie Wang, University of Massachusetts, Workshop Organizer
               Weili Wu, University of Texas, Workshop Organizer
 	 
 8:50 -  9:50  What is special about mining spatial datasets?
 	       Shashi Shekhar, University of Minnesota

 9:50 - 10:10  Break
 	 
Session A.2 Chair: Richard Bonneau
 	 
10:10 - 10:55  Spatio-Temporal Database Application in Mobile Telemedicine
               Cindy Chen, University of Massachusetts
 	 
10:55 - 11:40  Protein Functional Module Extraction in Protein Complexes
               Hui Xiong, Rutgers University
 	
11:40 -  12:25 Optimization in Spatio-Temporal Classification for Early Disease Diagnosis
               W. Art Chaovalitwongse, Rutgers University
               Y.J. Fan, Rutgers University
               R.C. Sachdeo, Rutgers University

12:25 -   2:00 Lunch
 	 
Session A.3 Chair: Weili Wu

 2:00 -  2:45  The Inferelator: A Method for Learning Dynamical Regulatory Networks from Data
               Richard Bonneau, New York University 
 	
 2:45 -  3:30  Large Scale Biological Network Analysis using Evolutionary Computing and Neural Network
 	       Ying Liu, University of Texas
 
 3:30 -  3:50  Break
 	 
Session A.4 Chair: Alexander Zelikovsky
 	 
 3:50 -  4:35  Transport of Bio-Polymer in Microarrays
               Yuan-Nan Young, New Jersey Institute of Technology

 4:35 -  5:20  Investigating Support Vector Machines with Unsupervised Learning
               Lutz Hamel, University of Rhode Island
 	
 6:00 -  8:00  Reception
 	 
Thursday, April 19, 2007	 
 
 8:00 -  8:30  Breakfast and Registration
 	 
Session B.1 Chair: Jie Wang
 	 
 8:30 -  9:30  The Use of and Need for High-Dimensional Data Visualizations for
               Better and More Refined Risk Assessment in Hereditary Diseases
               with Examples from Breast Cancer
               Georges Grinstein, University of Massachusetts

 9:30 -  9:50  Break
 	 
Session B.2 Chair: Yin Liu
 	 
 9:50 - 10:35  A Clustering Approach to Analyze Large High-Dimensional Cancer Datasets
               Kai Xing, The George Washington University, 
               Dechang Chen, The Uniformed Services University of the Health Sciences, 
               Donald Henson, The George Washington University,
               Xiuzhen Cheng, The George Washington University 

10:35 - 11:20  An Efficient Clustering Method for High Dimensional Data
               Wei Li, Cindy Chen, Jie Wang, University of Massachusetts
 	 
11:20 - 12:05  Discrete Optimization Approach to Disease Association Search
               and Susceptibility Prediction Problems
               Alexander Zelikovsky, Georgia State University
 	 
12:05 -  1:35  Lunch
 	 
Session B.3 Chair: Gary Livingston
 	 
 1:35 -  2:20  Efficient Non-unique Probes Selection in Microarray Design
               Weili Wu and Ping Deng, University of Texas
 	 
 2:20 -  3:05  Learning Embeddings for Similarity-Based Retrieval
               Vassilis Athitsos, Boston University
 	 
 3:05 -  3:50  The Freezing-out Clustering Method for Identifying Biological Functions
               of Unknown Transcripts in the Yeast Transcriptome
               Sungchul Ji, Rutgers University
               Wonsuk Yoo, Wayne State University School of Medicine
               Andrei Zinovyev, The Curie Institue (Paris)  

 3:50 -  4:10  Break
 	 
Session B.4 Chair: Vassilis Athitsos
 	 
 4:10 -  4:55  Difference Networks: Inferring Subgroup Differences between Variable Interactions
               Gary L. Livingston, University of Massachusetts, 
               Patrick Shaughnessy, University of Massachusetts, 
               Kevin Gardner, Laboratory of Receptor Biology & Gene Expression, National Cancer Institute

 4:55 -  5:40  Singular Perturbations in Mendelian Systems
               Ketill Ingolfsson, Community College of Philadelphia
 	
Friday, April 20, 2007	

 8:00 -  8:30  Breakfast and Registration 
 	 
Session C.1 Chair: Bhaskar DasGupta
 	 
 8:30 -  9:30  Data Mining Approach to Study of Protein Disorder
               Zoran Obradovic, Temple University
 	 
 9:30 -  9:50  Break
 	 
Session C.2 Chair: Cindy Chen
 	 
 9:50 - 10:35  A Novel Method for Signal Transduction Network Inference
               from Indirect Experimental Evidence
               Bhaskar DasGupta, University of Illinois
 	 
10:35 - 11:20  Surface-based Morphometry using SPHARM for Computational Neuroanatomy
               Li Shen, University of Massachusetts
 	 
11:30	       Lunch
 

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