[Protein-analysis] CFP IEEE ICDM BioDM workshop

Li Xiaoli (I2R) via proteins%40net.bio.net (by xlli from i2r.a-star.edu.sg)
Tue May 22 08:32:07 EST 2012

CFP ICDM-2012 Workshop on Biological Data Mining and its Applications in

December 10, 2012, Brussels, Belgium 

Workshop Co-Chairs: Xiao-Li Li, See-Kiong Ng, Jason T.L. Wang


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
sequences, DNA microarrays, and protein interactions, to biomedical
images, disease pathways, 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 biomedical 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 heterogeneous
data sources (e.g. linking genomic data, proteomics data with clinical
databases) are new challenges faced by biologists in the post-genome
We can expect data mining to play an increasingly crucial role in
furthering biological research, since data mining is designed to handle
challenging data analysis problems.  In fact, it is our hope that data
mining will be the next technical innovation employed by biologists to
enable them to make insightful observations and groundbreaking
discoveries from their wide array of heterogeneous data from molecular
biology to pharmaceutical and clinical domains. 
There are therefore unprecedented opportunities for data mining
researchers from the computer science domain to contribute to this
meaningful scientific pursuit together with the biologists and clinical
scientists. The mission of this workshop is 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 therefore 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. 

2. The topics of interest
 The topics of the workshop include but are not limited to:
*	Biological and medical data collection, cleansing, and
*	Biological and medical data visualization 
*	Bioimage analysis
*	Data pre-processing to handle noisy, missing biological and
medical data
*	Knowledge representation and annotation of biological and
medical data
*	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
*	Biological network analysis (protein interaction network,
metabolic network, transcription factor network, signalling network,
*	Pattern analysis in computational genetics, genomics and
*	Semantic web and knowledge acquisition in biology and healthcare
*	Electronic health records and biomedical repositories

3. Important Dates
Aug 10, 2012: Due date for paper submission 
Oct 1, 2012: Notification of paper acceptance to authors 
October 15, 2012: Camera-ready versions of accepted papers 
December 10, 2012: Workshop date

4. Submissions
Paper submissions are limited to a maximum of 8 pages in the IEEE
2-column format (Please refer to http://icdm2012.ua.ac.be/). 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).

5. PC members 
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
Jake Chen, Indiana University School of Informatics, Indianapolis, USA
Jin Chen, Michigan State University, USA
Honnian Chua, Institute for Infocomm Research, Singapore 
Juan Cui, University of Georgia, USA 
Yang Dai, University of Illinois at Chicago, USA 
Aryya Gangopadhyay, University of Maryland, Baltimore County, 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 
Jun (Luke) Huan, University of Kansas, USA
Jimmy Huang, York University, Canada 
Daisuke Kihara, Purdue University, USA
Chee Keong Kwoh, Nanyang Technological University, Singapore
Hiroshi Mamitsuka, Kyoto University, Japan
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
Saeed Salem, North Dakota State University
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

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