BIODM 2013 - ICDM-2013 Workshop on Biological Data Mining and its Applications in Healthcare

Website http://www1.i2r.a-star.edu.sg/~xlli/BioDM2013/BioDM.html | Edit Freely

Category data mining; bioinformatics; healthcare; biodata

Deadline: August 03, 2013 | Date: December 08, 2013

Venue/Country: Dallas, Texas USA, U.S.A

Updated: 2013-05-26 11:54:56 (GMT+9)

Call For Papers - CFP

ICDM-2013 Workshop on Biological Data Mining and its Applications in Healthcare

December 8, 2013, Dallas, Texas USA

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

http://www1.i2r.a-star.edu.sg/~xlli/BioDM2013/BioDM.html

1. Introduction

The biologists are stepping up their efforts to understand the biological processes that underlie disease pathways. 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 situation where our ability to generate biomedical data has greatly surpassed our ability to mine and analyze the data.

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 still many fundamental data analysis challenges to be overcome in order to discover new knowledge from the biomedical data to translate into clinical applications. These include 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).

This is an unprecedented opportunity for data mining researchers from the computer science domain to contribute to the meaningful scientific pursuit together with the biologists and clinical scientists. This workshop’s mission 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 encourage submission of papers describing the design and use of data mining techniques to address the various challenging issues in biological data analysis. We particularly welcome paper submissions that report the development of 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 integration

? Big biomedical data management, analysis, and prediction

? 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 applications

? Disease bioinformatics

? Computational methods for drug discovery

? Biological markers detection

? Pharmacogenomics data mining and personalized medicine

? Big data mining with high-throughput and next-generation sequencing technologies (DNA-seq, RNA-seq, ChIP-seq, etc.)

? Analysis of complex disorders

? Integration of biological and clinical data for translational research

? 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

3. Important Dates

Aug 3, 2013: Due date for paper submission

Oct 1, 2013: Notification of paper acceptance to authors

Dec 8, 2013: Workshop date

4. Submissions

Paper submissions are limited to a maximum of 8 pages in the IEEE 2-column format (Please refer to http://icdm2013.rutgers.edu/dates). 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. Confirmed PC members

Aidong Zhang, State University of New York at Buffalo (UB), USA

Alfonso Valencia, Spanish National Cancer Research Centre, Spain

Philip S. Yu, University of Illinois at Chicago, USA

Tatsuya Akutsu, Kyoto University, Japan

Gianluca Bontempi, Université libre de Bruxelles, Belgium

Vincent S. Tseng, National Cheng Kung University, Taiwan

Yang Dai, University of Illinois at Chicago, USA

Aryya Gangopadhyay, University of Maryland, Baltimore County, USA

Vladimir Bajic, King Abdullah University of Science and Technology, Saudi Arabia

David Hansen, Australian e-Health Research Centre, Australia

Daisuke Kihara, Purdue University, USA

Hiroshi Mamitsuka, Kyoto University, Japan

Mark A. Ragan, The University of Queensland, Australia

George Perry, University of Texas at San Antonio, USA

Narayanaswamy Srinivasan, Indian Institute of Science, India

Zeyar Aung, Masdar Institute of Science and Technology, United Arab Emirates

Hong Yan, City University of Hong Kong, China

Xin Gao, King Abdullah University of Science and Technology, Saudi Arabia

Xiaoxu Han, Eastern Michigan University, USA

Raphael Isokpehi, Jackson State University, USA

Shonali Krishnaswamy, Monash University, Australia

Chee Keong Kwoh, Nanyang Technological University, Singapore

Haiquan Li, University of Chicago, USA

Yongjin Li, St Jude Children's Research Hospital, USA

Raul Rabadan, Columbia University, USA

Honnian Chua, Institute for Infocomm Research, Singapore

Jianhua Ruan, University of Texas at San Antonio, USA

Saeed Salem, North Dakota State University

Zeeshan Syed, University of Michigan, USA

Sungroh Yoon, Seoul National University, Korea

Erliang Zeng, University of Notre Dame, USA

Xiaoling (Shirley) Zhang, Boston University, Boston, MA