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Call for Papers
Call for Papers can also be downloaded as a
PDF
Document.
In accelerating quest for disease biomarkers, the use of
high-throughput technologies, such as DNA microarrays and proteomics
experiments, has produced vast datasets identifying thousands of genes and
proteins whose expression patterns differ in diseased versus normal samples.
The power of these emerging technologies – the ability to quickly generate
large sets of biomedical data – has challenged current means of evaluating
and validating biomedical data.
Techniques and Methodologies proposed in this workshop
will help addressing two major challenges to incorporate this vast
biological knowledge into the data mining cycle: (i) designing efficient the
data mining frameworks; and (ii) adapting existing data mining algorithms to
understand constantly varying and changing biomedical data. In this workshop
we hope to present to the audience, the state-of-the-art frameworks for
bringing the background biomedical knowledge into the pattern recognition
task for biomedical data.
Authors are invited to submit original papers to the workshop exploring
data mining theories, techniques, and applications for Bioinformatics. Papers
are invited (but not limited) to the following themes:
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Conceptual Models for Biological and Medical Data
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Microarray Data Analysis
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Protein/RNA Structure Prediction
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Genomics and Proteomics
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Drug Design
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Biomedical Literature Mining
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Modeling of Biochemical Pathways
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Comparative Genomics
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Biological data Visualization
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Phylogenetics
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Biomedical Ontologies
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Biomedical Data Engineering using Ontologies
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System Biology and Pathways
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Biological Database Management
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Interoperation of Biomedical Databases
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Biomedical Query Processing, Query Optimization, and
Information Retrieval
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Biomedical Data Privacy and Security
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Data mining applications in bioinformatics,
biomedicine, health care and other biomedical domain areas
For more about Paper Submission format
click here. |
