BIOKDD, 2001
Workshop on Data Mining in Bioinformatics
August 26, 2001
San Francisco, CA, USA
in conjunction with
7th ACM SIGKDD International Conference on Knowledge Discovery and Data
Mining
(KDD'2001)
| Bioinformatics is the science of storing, extracting, organizing, analyzing,
interpreting, and utilizing information from biological sequences and molecules.
Knowledge Discovery and Data mining (KDD) techniques will play an increasingly
important role in the analysis and discovery of sequence, structure and
functional patterns or models from large sequence databases.
This workshop aims to present latest results in this exciting area at
the intersection of biology and KDD. More detailed topics of interest are
available at CALL FOR PAPERS.
PROCEEDINGS:
Preliminary proceedings will be
published by ACM for distribution during the workshop. A post-workshop
book is being planned with Springer-Verlag, containing revised
versions of the workshop papers as well as invited chapters from other
leading researchers.
WORKSHOP PROGRAM:
9:00-9:05: Opening Remarks
9:05-10:05 Session I (Invited Talk & Gene Expression)
(40 mins) Invited Talk:
Determination of RNA folding pathway
functional intermediates using a massively parallel genetic algorithm
Bruce Shapiro, National Cancer Institute,
USA
(20 mins)
Extracting knowledge from gene expression data: A case study
of Batten Disease, Simon Lin, Sumeer Dhar, Rose-Mary Boustany,
Duke University Medical Center, USA
10:05-10:30 Coffee Break
10:30-11:30 Session II (Microarrays)
(20 mins each)
Mining microarray expression data for classifier gene-cores, Goutham
Kurra, Wen Niu and Raj Bhatnagar, University of Cincinnati, USA
Classification of genes using probabilistic models of microarray expression
profiles, Paul Pavlidis, Christopher Tang, William S. Noble, Columbia
University, USA
Analysis of an associative memory neural network for pattern identification
in gene expression data,Silvio Bicciato, Mario Pandin, Giuseppe Didone'
and Carlo Di Bello, University of Padova and Cittadella Hospital, Italy
11:30-12:10 Session III (Sequence Assembly)
(20 mins each)
A learning algorithm for string assembly, Mark Goldberg, Darren Lim,
and Malik Magdon-Ismail, RPI, USA
A probabilistic approach to sequence assembly validation, Sun Kim,
Li Liao, and Jean-Francois Tomb, DuPont, USA
12:10-1:30 Lunch
1:30-2:50 Session IV: (Invited Talk & Proteins)
(40 mins) Invited Talk:
Shared challenges in data mining and
computational biology, Charles Elkan, University of California, San
Diego, USA
(20 mins each)
Learning to recognize brain specific proteins based on low-level features
from on-line prediction servers, Mikael Huss, Henrik Bostrom, Lars
Asker and Joakim Coster, Vitrual Genetics Laboratory, Sweden
Investigation of bagging-like effects and decision trees versus neural
nets in protein secondary structure prediction, Nitesh Chawla,
Thomas Moore, Kevin Bowyer, Lawrence Hall, Clayton Springer, Philip Kegelmeyer,
University of South Florida and Sandia National Labs., USA
2:50-3:00 Break (uncatered)
3:00-4:00 Session V (Sequence Modeling & Clustering)
(20 mins each)
Maximum entropy methods for biological sequence modeling, Eugen
Buehler, Lyle Ungar, University of Pennsylvania, USA
Hierarchical cluster analysis of SAGE data for cancer profiling,
Raymond T. Ng, Jorg Sander, and Monica C. Sleumer, University of British
Columbia, Canada
A scalable algorithm for clustering protein sequences, Valery Guralnik,
and George Karypis, University of Minnesota, USA
4:00-4:05: Closing Remarks |
WORKSHOP CO-CHAIRS:
Mohammed J. Zaki, Rensselaer Polytechnic Institute (zaki.AT.cs.rpi.edu
)
Hannu T.T. Toivonen, University of Helsinki and Nokia Research Center
(Hannu.TT.Toivonen@nokia.com)
Jason T. L. Wang, New Jersey Institute of Technology (jason@cis.njit.edu)
PROGRAM COMMITTEE:
Chuck Baldwin, Lawrence Livermore National Laboratory
Chris Bystroff, Rensselaer Polytechnic Institute
Shi-Kuo Chang, University of Pittsburgh
Wesley W. Chu, University of California, Los Angeles
Diane J. Cook, University of Texas at Arlington
Charles Elkan, University of California, San Diego
Janice Glasgow, Queen's University, Canada
Richard Hughey, University of California, Santa Cruz
Hasan Jamil, Mississippi State University
Minoru Kanehisa, Kyoto University
Simon M. Lin, Duke University Medical Center
Jacob V. Maizel, Jr., National Institutes of Health
Sharad Mehrotra, University of California at Irvine
Shinichi Morishita, University of Tokyo
Jane Richardson, Duke University
Isidore Rigoutsos, IBM Thomas J. Watson Research Center
Bruce Shapiro, National Institutes of Health
Vassilis J. Tsotras, University of California, Riverside
Alex Tuzhilin, New York University/Stern School of Business
Jeff Vitter, Duke University
Cathy H. Wu, Georgetown University Medical Center
Michael Zucker, Rensselaer Polytechnic Institute
|