ECML-PKDD 2007

Data Mining in Functional Genomics and Proteomics involves a close collaboration between researchers from a number of diverse areas, such as biology, medicine, genomics and proteomics to computer science, mathematics and statistics. This collaboration of disciplines has evolved because of the: (i) advances that have occurred in data production and acquisition facilities, such as the introduction of mircroarrays and high throughput genomics and proteomics, (ii) enormous amounts of data that is generated every day that cannot be analyzed using ordinary data mining tools and techniques, and (iii) strong interest from many groups (research institutes, hospitals, academia, pharmaceuticals, etc.) who want to benefit from this wealth of data. Many efforts to deal with these issues are being undertaken by researchers working in this field.

The aim of this workshop is to bring together researchers working on different topics related to data mining in functional genomics and proteomics. In particular we are interested to focus on current trends and emphasize on what should be the future directions for generic and applied research in this field. The main topics to be addressed during the workshop are integration methodologies for functional genomics and proteomics and also issues related to structuring and disseminating all useful knowledge that increasingly becomes available in this field.

The intended audience are reseachers and practitioners who are working in the above fields and in one or more of the following:

• Data pre-processing, data understanding
• Data management methods
• Data mining architectures, data bases
• Machine learning, NN, GA, SVM
• Statistics
• Soft computing techniques
• Gene expression analysis
• Gene networks and pathways
• Comparative genomics
• Post-processing, knowledge/model integration
• Integration of various forms of genomics and proteomics data
• Genomics knowledge structure and dissemination
• Association rules, and knowledge discovery from time series data
• Data Visualization, Association Graphs
• Biological Modeling and Artificial Life

• Dr. A. Fazel Famili (NRC – Canada), Chair
• Prof. Xiaohui Liu (Brunel University – UK), Co-Chair
• Prof. J.M. Peña (UPM – Spain), Co-Chair
• Dr. Joaquin Dopazo (CIPF– Spain)
• Prof. Samuel Kaski (Helsinki University of Technology–Finland)
• Prof. Ana Teresa Freitas (INESC-ID/IST - Portugal)
• Prof. Alexander Schliep, (Max Planck Institute – Germany)
• Prof. Henrik Bostrom (Royal Inst. Of Technology - Sweden)
• Prof. Evgenii Vityaev (Russian Academy of Science - Russia)
• Ing. Sergio Storari (Università di Ferrara - Italy)
• Prof. Guillaume Beslon (INSA - Lyon, - France)

This workshop will be held in Warsaw, Poland on September 17rd, immediately prior to the start of the ECML/PKDD conference. All workshop participants are expected to register for the main conference. Attendance to the workshop will be limited to 35-40 people. The participants will be selected by the organizing committee after reviewing submitted papers or statement of their current research. Those wishing to attend the workshop without submitting a paper should send a statement of their current research to the workshop chair or one of the workshop co-chairs.

The workshop will accept a maximum of 10 accepted papers. Each session will end with a 10-15 minutes summary and discussion. Workshop proceedings will be printed prior to the workshop and will be distributed among the participants.

Interested participants are requested to submit their papers in PDF or Postscript. Authors should submit their papers using Springer LNCS format. For templates please refer to: http://www.springer.de/comp/lncs/authors.html. Papers should not exceed 10-12 pages. Submissions should be made to the following:

Dr. A. Fazel Famili fazel.famili@nrc.gc.ca