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IEEE CIBCB 2011 : IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

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Link: http://cs.uwindsor.ca/uwinbio/cima2011
 
When Apr 11, 2011 - Apr 15, 2011
Where Paris
Submission Deadline Nov 16, 2010
Notification Due Jan 15, 2011
Final Version Due Feb 10, 2011
Categories    computational intelligence   microarray data analysis   bioinformatics   machine learning
 

Call For Papers

2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
(IEEE CIBCB 2011)
Special Session on Computational Intelligence for Microarray Data Analysis


This Special Session on Computational Intelligence for Microarray Data Analysis will be held within the 8th IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, in Paris, France, April 11-15, 2011. This special session is organized by the Bioinformatics and Bioengineering Technical Committee (BBTC) of the IEEE Computational Intelligence Society (CIS). Please visit http://www.ieee-ssci.org/2011/cibcb-2011 for more information.
Motivation:

Microarray data analysis is an important topic in bioinformatics and computational biology. Genes can be monitored synchronically by microarray technique. The static microarray data compile the expression levels of various genes over a set of biological samples termed gene-sample data. Another type of data is gene-time (time-series) data which record the expression levels of various genes over a series of time-points. Within the last few years in medical research, the expression levels of genes with respect to biological samples have been monitored synchronically over a series of time-points. This corresponds to a type of three-dimensional (3D) microarray data set, termed gene-sample-time (GST) microarray data, which can be viewed as a collection of gene-sample data over a series of time-points, or a collection of gene-time data across some samples. Important applications of microarray data include classification for predicting diseases, clustering for discovering gene patterns and regulatory mechanism, gene selection for identifying biomarkers, and modeling or reconstructing gene regulatory networks (GRNs) and other biomolecular networks. There are quite a few of problems in microarray data analysis that challenge bioinformaticians, for example, data noise, missing value, measurement uncertainty, imprecision in data, curse of dimensionality, difficulty of mining temporal information, low accuracy of current GRN models, and expensive computational cost. Moreover, a sample in a GST data set is a matrix rather than a vector, and a GST dataset is represented by a tensor. Current pattern recognition theories are based on multivariate statistics and linear algebra that are not well suited for handling GST data. The representation, inference, and learning of GRNs are very challenging.

Computational intelligence (CI) can effectively address these issues. Neural networks and kernel based approaches can be used for classification, clustering, and gene selection. Genetic algorithms can also be used to search a discriminative subset of genes. Modeling optimal GRNs is a NP-hard problem; hence CI could be employed as alternative approaches to search good structures, given appropriate representations of the (dynamic) networks. This special session is soliciting high-quality papers of original research and application papers that have not been published elsewhere and are not under consideration for publication elsewhere. All papers will be rigorously reviewed by at least 3 reviewers. Accepted papers will be published in the CIBCB 2011 proceedings (with ISBN number), included in the IEEE Xplore digital library, and indexed by EI/Compendex. There is a clear interest in the computational intelligence community, biology communities, and multilinear (tensor) algebra community for this special session.

Topics:

The topics of this special session include, but are not limited to:

* clinical diagnosis and disease prediction
* gene selection
* microarray time-series data analysis
* clustering, biclusering, and triclustering of gene expression profiles
* pathway analysis
* microarray visualization and image processing, and data preprocessing
* modeling and reconstructing gene regulatory networks
* network based systems biology

Submission:

1. Follow the document preparations and deadlines here: http://www.ieee-ssci.org/2011/submission-information
2. Submit using the submission system linked on that page, indicating the special session that you wish to direct your paper to.

Important Dates:

(for both special session and regular papers)

* Full paper submission due: Nov. 16, 2010
* Notification of acceptance: Jan. 15, 2011
* Final paper submission date: Feb. 10, 2011

Organizers:

Dr. Yifeng Li
School of Computer Science
University of Windsor
Windsor, ON, N9B 3P4 Canada
Email: li11112c@uwindsor.ca

Dr. Chengpeng (Charlie) Bi
Division of Clinical Pharmacology
The Children's Mercy Hospitals and Clinics
Kansas City MO 64108, USA
Email: cbi@cmh.edu

Dr. Alioune Ngom
School of Computer Science
University of Windsor
Windsor, ON, N9B 3P4 Canada
Email: angom@cs.uwindsor.ca

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