DMLS 2012 - Workshop on Data Mining in Life Sciences DMLS'2012

Workshop on Data Mining in Life Sciences DMLS'2012

July 20, 2012, Berlin/ Germany

Workshop Chair
Isabelle Bichindaritz, University of Washington, USA
Rainer Schmidt, University of Rostock, Germany
Workshop Committee
Riccardo Bellazzi, University of Pavia, Italy
Kung-Ma Chao, National Taiwan University, Taiwan
Michel Dojat, UM INSERM-UJF U594 , France
Peter Funk, Malardalen University, Sweden
Sophia Katrenko University of Amsterdam, the Netherlands
Xiaoqiu Huang, Iowa state University, USA
Jingchu Luo, Peking University, China
Stefania Montani, University of Piemonte Orientale, Italy
Oleg Okun, Smarttecco, Sweden
Petra Perner, Institute of Computer Vision and Applied Computer Sciences, Germany
Frank-Michael Schleif, University Leipzig, Germany
Rainer Schmidt, Institut fur Medizinische Informatik und Biometrie, Germany
Malika Smail-Tabbone, LORIA, France
Paolo Soda, Università Campus Bio-Medico di Roma, Italy
Herna L. Viktor, University of Ottawa, Canada
Scope of the Workshop
Data mining in biology and medicine is a core component of biomedical informatics, and one of the first intensive applications of computer science to this field, whether at the clinic, the laboratory, or the research center. Following a long tradition of data exploration stemming from biostatistical data analysis, todays's biomedical data mining appears more multifaceted with advances in knowledge discovery in databases as well as machine learning approaches.

The goals of this workshop are to:
provide a forum for identifying important contributions and opportunities for research on data mining as it applies to biological and/or medical data,
promote the systematic study of how to apply data mining to biology and medicine, and
show case applications of data mining in biology and medicine.
Some of the technical issues addressed, and potential outcomes of the workshop, are to identify preferred types of mining methods, tools, and processes, preferred domains of application, how to connect a data mining model with a problem to solve, challenges specific to applying data mining to biology and medicine, and guidelines to better develop data mining projects in this domain. We welcome all those interested in the problems and promise of data mining in biology or medicine as well as in bioinformatics, Human Genome Project, environmental sciences and agriculture.

Topics of interest include (but are not limited to):
With regard to different types of data:

Discovery of high-level structures, including e.g. association networks
Text mining from biomedical literatur
Medical images mining
Biomedical signals mining
Temporal and sequential data mining
Mining heterogeneous data
Mining data from molecular biology, genomics, proteomics, pylogenetic classification
With regard to different methodologies and case studies:

Data mining project development methodology for biomedicine
Integration of data mining in the clinic
Ontology-driver data mining in life sciences
Methodology for mining complex data, e.g. a combination of laboratory test results, images, signals, genomic and proteomic samples
Data mining for personal disease management
Utility considerations in DMLS, including e.g. cost-sensitive learning
We particularly welcome case studies and applications and discussions of the lessons learned from such case studies
Workshop Format
In this workshop we intend to bring scientists together and actively identify common research threads, define open problems, and develop collaborative contacts. We aimed at providing an informal atmosphere where participants are encouraged to ask clarifying questions throughout the talks and to participate in longer discussions after each presentation. Since we anticipate varied backgrounds of the participants, we will encourage speakers to present their work from a big-picture perspective and to clearly identify key issues in their research before they dive into technical details.

A wrap-up round table discussion will summarize the lessons learnt, issues identified, and future directions.

Submission Requirements
Papers will be published in the workshop proceedings by IBaI Publishing. PostScript (compressed and uuencoded) or PDF paper submissions should be formatted according to Springer LNCS format, with a maximum of ten pages. Author's instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html .

Please submit the electronic version of your camera-ready paper through the CMS-system. If you have any problems with the system please do not hesitate to contact info-AT-data-mining-forum.de.

Authors of the selected papers from the workshop will be invited to submit their revised and extended papers to a journal special issue.

Important Dates

Submission Deadline: April 13th, 2012
Notification Date: April 30th, 2012
Camera-Ready Deadline: May 12th, 2012
Workshop date: July 20th, 2012