Machine learning in integrative genomics (MLIG'09)

Machine learning in integrative genomics (MLIG'09) special session is organized as part of the 4th IAPR International Conference in Pattern Recognition or Bioinformatics (PRIB 2009), City Hall, Sheffield, United Kingdom 7 - 9 September 2009. The attendants to the special session need to register at the main conference.

After the special session is held, we will welcome contributions on the topic of machine learning in intgrative genomics and publish a special issue in a journal dedicated to the topic. All the contributions will be peer-reviwed for scientific quality.

Scope and topics

The Machine learning in integrative genomics special session is organized as part of the 4th IAPR International Conference in Pattern Recognition for Bioinformatics (PRIB 2009). The PRIB 2009 aims to bring together top researchers, practitioners and students from around the world to discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in the life sciences.

The topic of the Machine learning for integrative genomics special session is to focus on machine learning methods in integrative genomics. The special session welcomes contributions which bring up integrative aspects in methodological machine learning work or in a clinical application setting. Contributions in integrative cancer genomics are especially encouraged.

Previous publication of the clinical or methodological results does not prevent publication in the special session, if substantial novelty is presented in terms of integrative genomics, either from a methodological or a clinical viewpoint. The integrative nature of work should also be the focus of the contributions.

The topics for Machine learning in integrative genomics special session include the following:

Data integration and aggregation methods in integrative genomics
Clinical studies using large-throughput data, especially cancer genomics
Methodologies in integration of microRNA expression, gene expression and copy number data
Learning from multiple sources
Data integration from paired data
Prediction and classification in integrative genomics
Feature selection in integrative genomics
Gene ranking and rank aggregation in integrative genomics
Multi-resolution methods in data integration
Tools for integrative genomics
Validation methodologies in integrative genomics
Workflows for integrative genomics studies

Program of the special session

The following talks were presented at the Machine learning in integrative genomics special session during the 4th IAPR International Conference in Pattern Recognition for Bioinformatics (PRIB 2009)

Invited talk Learning and retrieval from multiple sources by Samuel Kaski, Department of Information and Computer Science, Helsinki University of Technology, Finland
Semantic Kernel Combination for PPI Sentence Detection by Tamara Polajnar, Theodoros Damoulas, and Mark Girolami, Department of Computing Science, University of Glasgow, Scotland, UK
Reverse Engineering and Critical Analysis of Gene Regulatory Networks in Multiple Myeloma by M. Forcato, L. Possamai, F. Ferrari, L. Agnelli, K. Todoerti, G. Delilier Lambertenghi, S. Bortoluzzi, M. Marchiori, A. Neri, and S. Bicciato, University of Modena and Reggio Emilia, Italy

Important dates

Special session held at PRIB conference:

Deadline for submissions:	15th May, 2009, postponed to 31st May, 2009
Author notification:	1st July, 2009
The PRIB conference takes place:	7th to 9th September, 2009

Special issue of the journal:

Deadline for submissions:	30th October, 2009
Author notification:	December, 2009
Publication of the Special Issue:	Spring 2010

Instructions for contributors

The contributed papers will be peer-reviewed by at least two members of the program committee. The contributions will be evaluated in terms of fitting the scope of machine learning in integrative genomics, scientific significance, technical quality and clarity of the presentation.

Accepted contributions will be presented at the Pattern Recognition in Bioinformatics conference either as oral presentations or as poster presentations. The authors may indicate their preferred manner of presentation. Presented contributions will not be published as part of the conference proceedings. The accepted contributions will be published after the conference in a special issue of the journal International Journal of Systems Science devoted to the topic of Machine learning in integrative genomics and edited by the organizers of the special session.

Formatting instructions

Submissions are formatted according to the format of International Journal of Systems Science. See the instructions for authors section of the International Journal of Systems Science for formatting instructions. The use of the LaTeX template is strongly recommended. Recommended minimum length of the submissions is about 4000 words.

Submission instructions

Submission is done electronically through the CMT conference management system at the submission site https://cmt.research.microsoft.com/MLIG09/

Organizers

Jaakko Hollmén, Helsinki University of Technology, Finland
Martin Dugas, University of Munster, Germany
Silvio Bicciato, University of Modena and Reggio Emilia, Italy

Program committee members

Silvio Bicciato, University of Modena and Reggio Emilia, Italy
Ivan Dimov, Bulgarian Academy of Science, Bulgaria
Martin Dugas, University of Munster, Germany
Massimiliano Gentile, University of Helsinki, Finland
Thomas Hielscher, German Cancer Research Center, Heidelberg, Germany
Jaakko Hollmén, Helsinki University of Technology, Finland
Leo Lahti, Helsinki University of Technology, Finland
Mihail Nedjalkov, Bulgarian Academy of Science, Bulgaria
Victor Moreno, Autonomous University of Barcelona, Spain
Lara Nonell, IMIM-Hospital del Mar, Spain
Rumyana Papancheva, University Prof. Dr. Asen Zlatarov, Burgas, Bulgaria
Javier De Las Rivas, Cancer Research Center, Salamanca, Spain
Alfredo Vellido, Universitat Politecnica Catalunya, Spain
Jaak Vilo, University of Tartu, Estonia
Lucjan S. Wyrwicz, Maria Sklodowska-Curie Memorial Cancer Center, Poland
Andrea Zangrando, University of Padua, Italy

The current page http://www.hiit.fi/mlig09/ last modified on September 7, 2009. Contact person: Jaakko.Hollmen@tkk.fi.