MLSB 2012: Call for Contributions
Basel, Switzerland, September 8 and 9, 2012
Submission Deadline: June 7, 2012
Author Notification: June 28, 2012
MLSB12, the Sixth International Workshop on Machine Learning in Systems Biology will be held in Basel, Switzerland on September 8 and 9, 2012. The Workshop is organized as "Satellite Meeting" of the 11th European Conference on Computational Biology (ECCB).
The aim of this workshop is to contribute to the cross-fertilization between the research in machine learning methods and their applications to systems biology (i.e., complex biological and medical questions) by bringing together method developers and experimentalists. We encourage submissions bringing forward methods for discovering complex structures (e.g. interaction networks, molecule structures) and methods supporting genome-wide data analysis.
The deadline for submissions of extended abstracts is June 7, 2012 (23:59 in the time zone of your choice).
We invite you to submit an extended abstract of up to 2 pages describing new or recently published (2012) results, formatted according to the NIPS style format (MLSB is not double-blind this year). Each extended abstract must be submitted online via the Easychair submission system: http://www.easychair.org/conferences/?conf=mlsb2012.
The extended abstracts will be reviewed by the scientific programme committee. They will be selected for oral or poster presentation according to their originality and relevance to the workshop topics. Electronic versions of the extended abstracts will be accessible to the participants prior to the conference, distributed in hardcopy form to participants at the conference, and will be made publicly available on the conference web site after the conference. However, the book of abstracts will not be published and the extended abstracts will not constitute a formal publication.
We encourage submissions bringing forward methods for discovering complex structures (e.g. interaction networks, molecule structures) and methods supporting genome-wide data analysis. A non-exhaustive list of topics suitable for this workshop are:
Machine Learning Algorithms
Clustering Metabolic pathway modeling
Structured output prediction
Graph inference, completion, smoothing
Gene Expression and post-transcriptional regulation
Inference of gene regulation networks
Gene prediction and whole genome association studies
Systems biology approaches to biomarker identification
Rational drug design methods
Protein function and structure prediction
Protein-protein interaction networks
MLSB 2012 Chairs
Karsten Borgwardt, Max Planck Institutes and University of Tübingen
Gunnar Rätsch, Memorial Sloan-Kettering Cancer Center, New York