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[Drosophila] CFP IEEE ICDM 2011 Workshop on Biological Data Mining and its Applications in Healthcare

Li Xiaoli via dros%40net.bio.net (by xlli from i2r.a-star.edu.sg)
Wed Jun 22 03:14:16 EST 2011

ICDM 2011 Workshop on Biological Data Mining and its Applications in
Healthcare (http://www1.i2r.a-star.edu.sg/~xlli/BioDM.html) will be held
Vancouver, Canada, December 10, 2011.
1. Introduction
Biologists are stepping up their efforts in understanding the biological
processes that underlie disease pathways in the clinical contexts. This
has resulted in a flood of biological and clinical data from genomic and
protein sequences, DNA microarrays, protein interactions, to disease
pathways, biomedical images, and electronic health records. We are in a
scenario where our capability to generate biomedical data has greatly
surpassed our abilities to mine and analyze the data. 
To exploit these data for discovering new knowledge that can be
translated into clinical applications, there are fundamental data
analysis difficulties that have to be overcome. Practical issues such as
handling noisy and incomplete data (e.g. protein interactions have high
false positive and false negative rates), processing compute-intensive
tasks (e.g. large scale graph mining), and integrating various data
sources (e.g. linking genomic data, proteomics data with clinical
databases) are new challenges faced by biologists in the post-genome
Data mining has been designed to handle such challenging data analysis
problems. We can therefore expect data mining to play an increasingly
crucial role in revolutionizing biological research.  Data mining will
be the next technical innovation employed by biologists to enable them
to make meaningful observations and discoveries from a wide array of
heterogeneous data from molecular biology to pharmaceutical and clinical
As data mining is poised to become integrated into the next-generation
pipeline of biomedical discovery process, there are unprecedented
opportunities for data mining researchers from the computer science
domain to come together to contribute to this meaningful scientific
pursuit with the biologists and clinical scientists. The mission of this
workshop is therefore to disseminate the research results and best
practices of data mining approaches to the cross-disciplinary
researchers and practitioners from both the data mining disciplines and
the life sciences domains. We encourage submission of papers using data
mining techniques to address the challenging issues in various
biological data analysis. In particular, we especially welcome the
submissions reporting data mining techniques in healthcare related
applications that integrate the use of biological data in a clinical
context for translational research. 
The topics of the workshop include but are not limited to:
 * Biological and medical data collection, cleansing, and integration
 * Biological and medical data visualization 
 * Bioimage analysis
 * Data pre-processing to handle noisy, missing biological and medical
 * Knowledge representation and annotation of biological and medical
 * Machine learning algorithms for biological and healthcare
 * Disease bioinformatics 
 * Computational methods for drug discovery 
 * Biological markers detection
 * Pharmacogenomics data mining
 * Analysis of complex disorders
 * Integration of biological and clinical data for translational
 * Bioinformatics databases and resources 
 * Text mining algorithms for biological and healthcare applications
 * Biological network analysis (protein interaction network, metabolic
network, transcription factor network, signalling network, etc.) 
 * Pattern analysis in computational genetics, genomics and proteomics
 * Semantic web and knowledge acquisition in biology and healthcare
 * Electronic health records and biomedical repositories
2. Important Dates
Aug 5, 2011: Due date for paper submission
September 20, 2011:  Notification of paper acceptance
October 11, 2011:  Camera-ready versions of accepted papers
December 10, 2011:  Workshop 

3. Submissions
Paper submissions are limited to a maximum of 10 pages in the IEEE
2-column format, which is the same as the camera-ready format (see the
IEEE Computer Society Press Proceedings Author Guidelines). All papers
will be reviewed by the Program Committee based on technical quality,
relevance to data mining, originality, significance, and clarity. A
double blind reviewing process will be adopted. Authors should therefore
avoid using identifying information in the text of the paper. All papers
should be submitted through the ICDM Workshop Submission Site.  
All accepted workshop papers will be published in a separate ICDM
workshop proceedings published by the IEEE Computer Society Press.  In
addition, authors with accepted papers to the workshop will have the
opportunity to be invited to publish their extended versions in the
following two venues: a) as book chapters in an edited book which will
be published by World Scientific and b) as journal papers in
International Journal of Knowledge Discovery in Bioinformatics (IJKDB).

4. PC members (confirmed so far)
Zhang Aidong, State University of New York at Buffalo (UB), USA
Tatsuya Akutsu, Kyoto University, Japan
Zeyar Aung, Masdar Institute of Science and Technology, UAE
Vladimir Bajic, King Abdullah University of Science and Technology,
Saudi Arabia
Jin Chen, Michigan State University, USA
Phoebe Chen, La Trobe University, Australia
Honnian Chua, Harvard University, USA 
Juan Cui, University of Georgia, USA 
Yang Dai, University of Illinois at Chicago, USA 
Xin Gao, King Abdullah University of Science and Technology, Saudi
Xiaoxu Han, Eastern Michigan University, USA
David Hansen, Australian e-Health Research Centre, Australia 
Wen-Lian Hsu, Academia Sinica, Taiwan  
Jimmy Huang, York University, Canada 
Raphael Isokpehi, Jackson State University, USA
Dawei Li, Yale University, USA
Haiquan Li, University of Chicago, USA
Igor Jurisica, University of Toronto, Canada
Daisuke Kihara, Purdue University, USA
Shonali Krishnaswamy, Monash University, Australia
Chee Keong Kwoh, Nanyang Technological University, Singapore
Hiroshi Mamitsuka, Kyoto University, Japan
Laxmi Parida, IBM T. J. Watson Research Center, USA
George Perry, University of Texas at San Antonio, USA
Mark A. Ragan, The University of Queensland, Australia 
Raul Rabadan, Columbia University, USA
Jianhua Ruan, University of Texas at San Antonio, USA
Indra Neil Sarkar, University of Vermont, USA
Ambuj K Singh, University of California at Santa Barbara, USA
Narayanaswamy Srinivasan, Indian Institute of Science, India
Zeeshan Syed, University of Michigan, USA 
Vincent S. Tseng, National Cheng Kung University, Taiwan
Alfonso Valencia, Spanish National Cancer Research Centre, Spain
Hong Yan, City University of Hong Kong, China
Philip S. Yu, University of Illinois at Chicago, USA  
Erliang Zeng, University of Notre Dame, USA 
Xiaoling Zhang, Boston University, Boston, MA
Marketa Zvelebil, Breaktrhough Breast Cancer Research - ICR, UK

We look forward to your submissions. In addition, we will greatly
appreciate it if you can distribute the Call for Papers to your
colleagues, students and other community members and encourage them to
contribute to the workshop. Thank you!
Kind Regards, 
Workshop Co-Chairs 
Xiao-Li Li, See-Kiong Ng and Jason T. L. Wang

“1991-2011 - Creating Growth, Enhancing Lives. Commemorating A*STAR’s 20 Years of Science, Technology and Research in Singapore.”

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