Call for papers
MALIOB 2009
Machine learning and intelligent optimization in bioinformatics
The main purpose of this workshop is to provide an open environment where researchers in machine learning and optimization and molecular biology experts can exchange ideas and discuss on successful applications to relevant bioinformatics tasks, novel and promising approaches to challenging open problems, and interesting formalizations of new tasks. We aim at fostering a fruitful crossover among the disciplines as a major and necessary step towards significant improvements over the current state-of-the-art.
We encourage contributions on machine learning and intelligent optimization approaches, or novel formalizations of challenging open problems on the following not exclusive list of topics:
- Chemoinformatics
- Evolutionary analysis
- Gene expression analysis
- Gene networks
- Molecular sequence analysis
- Post-transcriptional regulation
- Protein structure and function prediction
- Regulatory, metabolic and interaction networks
- Text mining of bioinformatics literature
We accept submissions in all formats accepted by the main LION workshop:
- Original novel and unpublished work for publication in the post-conference proceedings (max. 15 pages in Springer LNCS format);
- An extended abstract of work-in-progress or a position or problem statement (max. 4 pages)
- Manuscripts that have recently been accepted for publication or appeared within the last 6 months in a peer-reviewed journal or which are currently under review (only for oral presentation).