Workshop on

Machine Learning in Biomedicine and Bioinformatics

of

The Sixth International Conference on Machine Learning and Applications (ICMLA’ 07)

http://www.cs.csubak.edu/~icmla/icmla07/

December 13-15, 2007 –  Cincinnati, Ohio, USA

 

 

The dramatic growth of medical and biological data has created an unprecedented opportunity for machine learning in the pattern recognition and machine learning community. Many medical and biological problems involve challenging approaches to pattern discovery and learning.  Increasingly, intelligent systems have been designed to solve problems in biology and medicine. This workshop is devoted to introducing new machine learning problems and attracting newly developed machine learning methods in biomedicine and bioinformatics.  The goal of the workshop is to foster new research collaborations between the biomedicine/bioinformatics community and the machine learning community.

 

 

Topics

 

We encourage the submissions of papers on novel machine learning approaches in the biomedicine and bioinformatics domains, and machine learning methods for general applications including (but not limited to):

 

-Biomedical decision support systems

-Expert systems

-Medical informatics

-Medical (business/financial) intelligence

-Patient (customer) relationship management 

-Electronic medical record (EMR) data mining

-Bioimage mining

-Text mining

-Disease/cancer classification

-Microarray data analysis

-Protein structure prediction and protein fold recognition

-Protein interaction and function prediction

-Motif discovery

-Prediction of sub-cellular localization for proteins

-Sequence analysis and alignment

-Protein interactions and molecular networks

 

Audience

 

-Medical informaticians

-Bioinformaticians

-Computer scientists

-Electrical engineers

-Statisticians

-Molecular biologists

-Other researchers and developers

 

Important Dates

 

Submission deadline:                     June 15, 2007

Notification of acceptance:            September 1, 2007

Final papers due:                          October 1, 2007

Workshop:                                  December 13-15, 2007

 

Submissions

 

Papers submitted for this workshop should be submitted by June 15, 2007, at the regular paper submission website (http://www.cs.csubak.edu/~icmla/icmla07/). Papers should not exceed a maximum of 6 pages (including abstract, body, tables, figures, and references), and should be submitted as a pdf in 2-column IEEE format. LaTeX document class files for 2-column format can be found on the IEEE Author Tools web page here.

 

Proceedings

 

Accepted papers will be published in the conference proceedings, as a hardcopy. All accepted papers must be presented by one of the authors to be published in the conference proceedings.

A selected number of accepted papers will be invited for publication, in an expanded and revised form, in a special issue of International Journal of Data Mining and Bioinformatics.

 

Co-Chairs

 

Xue-Wen Chen, Electrical Engineering and Computer Science Department, The University of Kansas, Lawrence, Kansas 66045 USA, E-mail: xwchen <at> ku.edu

 

Leif Peterson, Division of Biostatistics and Epidemiology, Dept. of Public Health, The Methodist Hospital, Houston, Texas 77030 USA, E-mail: lepeterson <at> tmh.tmc.edu

 

Track Chairs

 

Bioinformatics Track

Sun Kim, Indiana University, E-mail: sun.kim <at> acm.org

Tony Hu, Drexel University, E-mail: thu <at> cis.drexel.edu

Biomedicine Track

Hanchuan Peng, Howard Hughes Medical Institute, E-mail: pengh <at> janelia.hhmi.org

 

 

International Program Committee (in alphabetic order)

 

Danny Barash, University Ben-Gurion of Negev, Israel

Peter Bajcsy, University of Illinois at Urbana-Champaign, USA

Dechang Chen, Uniformed Services University of the Health Sciences, USA

Youping Deng, The University of Southern Mississippi, USA

Anne Denton, North Dakota State University, USA

Barbara Hammer, Clausthal University of Technology, Germany

Luke Huan, The University of Kansas, USA

Emmanuel Ifeachor, University of Plymouth, UK

Hyunsoo Kim, Georgia Institute of Tech, USA

Mark A. Kon, Boston University, USA

Birong Liao, Eli Lilly and Company, USA

Li Liao, University of Delaware, USA

Raja Loganantharaj, University of Louisiana, USA

Fuhui Long, Janelia Farm, HHMI, USA

Feng Luo, University of Clemson, USA

Yinghua Ma, Xianghai Jiaotong University, China

Francesco Masulli, University of Genoa, Italy

Lucila Ohno-Machado, Harvard University, USA

Simon Mercer, Microsoft Research, USA

Silvano Paoli, ITC-irst, Italy

Vladimir Pavlovic, Rutgers University, USA

Yonghong Peng, University of Bradford, UK

Chandan Reddy, Cornell University, USA

Sagi Snir, University of Berkeley, USA

Guiyang Su, Xianghai Jiaotong University, China

Roberto Tagliaferri, University of Salerno, Italy

Ronald Taylor, Pacific Northwest National Laboratory, USA

Bernd Wachmann, Siemens Corporate Research, USA

Yu-Ping Wang, University of Missouri, USA

Jiong Yang, Case Western Reserve University, USA

Xuegong Zhang, Tsinghua University, China

Anne Zhang, The University of Kansas, USA