TOPICS
A general collection of relevant subjects includes but is not
limited to:
- Methods for
- descriptive modeling of biomedical data (e.g. visualization and clustering
of high dimensional data, estimating probability distributions; bias and
noise characterization)
- predictive modeling of biomedical data (e.g. gene prediction, protein
structure prediction, detection of drug targets disease diagnosis and
prognosis)
- finding patterns and rules in biomedical data (e.g. homology analysis,
associations discovery, Bayesian analysis)
- information retrieval from unstructured and semi-structured biomedical
data
- Applications in
- gene expression analysis (e.g. pathway-based characterization, expression
profile comparison, and advanced statistical analysis)
- protein structure analysis and functional annotation
- regulatory networks
- comparative genomics