2009 International Workshop on Data Mining for Biomarker Discovery
(DMBD 2009)

in conjunction with

IEEE International Conference on Bioinformatics and Biomedicine
(BIBM 2009)
http://www.ittc.ku.edu/bioinformatics/BIBM09/home.php

Nov. 1st – 4th , 2009
Washington DC, USA

Biomarker discovery is an important topic in biomedicine that may lead to significant breakthrough in wide applications like disease analysis and target therapy. For biomarkers, we refer to biological entities whose alterations are measurable and characteristic of a biological phenotype. In biomedical sciences, with advancing genomics, proteomics, metabolic, and systems biology techniques, many molecular entities such as genes, RNAs, proteins, metabolites have been examined as candidate biomarkers of disease. Managing, interpreting, and discovering knowledge of new biomarkers have been kept as challenging and attractive issues in this emerging field of biomedical informatics.

The Workshop on Data Mining for Biomarker Discovery (DMBD) aims to provide a premier forum for sharing state-of-the-art computational techniques for biomarker discovery. We welcome both computational and biomedical research papers that are previously unpublished, with particular emphasis on the following areas:

•  Biomarker data integration and information retrieval methods

•  Large open-access biomarker databases information management systems

•  Statistical machine learning techniques in biomarker discovery

•  Functional genomics techniques that links gene expressions to disease
         phenotypes

•  Computational proteomics for clinical applications

•  Mining biomarkers in Mass spectrum data

•  Structure analysis of biomarker molecules

•  Sequence and structural motif finding to understand molecular mechanism of
         biomarkers

•  RNAi and microRNA biomarker discovery

•  Comparative genomics studies of biomarkers

•  Modeling of biological pathways and networks involving biomarkers

•  Biomedical text mining for biomarker finding

•  Integrated clinical data mining and molecular data mining for biomarkers

•  Drug discoveries and biomarkers

•  Pharmacogenomics and biomarkers

•  Personalized medicine and biomarkers

•  Frameworks integrating computational and experimental biomarker knowledge
         discoveries

•  Case studies in biomarker discovery

•  Open source libraries, portals, and utilities for biomarker discovery

•  Ethics and privacy issues in mining biomarkers for patient data