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MLSB16, the Tenth International Workshop on
Machine Learning in Systems Biology will take place in conjunction with ECCB 2016 in The Hague, Netherlands, on Sept 3-4, 2016.
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.
New: The workshop proceedings were published in BMC Bioinformatics and can be found here.
 Summary
Biology is rapidly turning into an information science, thanks to enormous advances in the ability to observe the molecular properties of cells, organs and individuals. This wealth of data allows us to model molecular systems at an unprecedented level of detail and to start to understand the underlying biological mechanisms. This field of systems biology creates a huge need for methods from machine learning, which find statistical dependencies and patterns in these large-scale datasets and that use them to establish models of complex molecular systems. MLSB is a scientific forum for the exchange between researchers from Systems Biology and Machine Learning, to promote the exchange of ideas, interactions and collaborations between these communities.
Topics
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:
| Methods |
Applications |
| Active learning/Experimental design |
Biomarker identification |
| Bayesian Methods |
Epigenetics |
| Clustering/Biclustering |
Genome-wide association studies |
| Data integration/fusion/multi-view learning |
Metabolic modeling and reconstruction |
| Feature/subspace selection |
Metabolomics |
| Graph inference/completion |
Protein function and structure prediction |
| Kernel Methods |
Protein-protein interaction networks |
| Machine Learning Algorithms |
Rational drug design methods |
| Multitask/Structured output prediction |
Regulatory genomics |
| Probabilistic inference |
Sequence Annotation |
| Semi-supervised learning |
Signaling networks |
| Systems identification |
Synthetic biology |
| Time-series analysis |
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Scientific Program Committee 2016
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All the organizers
Antti Airola (University of Turku, Finland)
Chloé-Agathe Azencott (Mines ParisTech/Institut Curie INSERM, France)
Alexis Battle (Johns Hopkins University, USA)
Michael A. Beer (Johns Hopkins University, USA)
Andreas Beyer (University of Cologne, Germany)
Céline Brouard (Aalto university, Finland)
Karsten Borgwardt (ETH Zurich, Switzerland)
Gal Chechik (Bar Ilan University, Israel)
Chao Cheng (Dartmouth Medical School, USA)
Manfred Claassen (ETH Zurich, Switzerland)
Florence d'Alché-Buc (Télécom ParisTech/Institut Mines-Télécom, France)
Saso Dzeroski (Jozef Stefan Institute, Slovenia)
Pierre Geurts (University of Liège, Belgium)
Markus Heinonen (Aalto University, Finland)
James Hensman (Lancaster University, UK)
Lars Kaderali (University Medicine Grueifswald, Germany)
David Knowles (Cambridge University, UK)
Stefan Kramer (University of Mainz, Germany)
Anshul Kundaje (Stanford University, USA)
François Laviolette (Université Laval, Canada)
Christina Leslie (Memorial Sloan-Kettering Cancer Center, USA)
Hiroshi Mamitsuka (Kyoto University, Japan)
Martin Renqiang Min (NEC Labs America, USA)
Yves Moreau (KU Leuven, Belgium)
Alan Moses (University of Toronto, Canada)
Sara Mostafavi (UBC, Canada)
Bernard Ng (University of British Columbia, Canada)
Mahesan Niranjan (University of Southampton, UK)
William Noble (University of Washington, USA)
Uwe Ohler (Max Delbrueck Center & Humboldt University, Germany)
Tapio Pahikkala (University of Turku, Finland)
Nico Pfeifer (Max Planck Institute for Informatics, Germany)
Gerald Quon (University of California, Davis, USA)
Magnus Rattray (University of Manchester, UK)
Yvan Saeys (Ghent University, Belgium)
Guido Sanguinetti (University of Edinburgh, UK)
Li Shen (Icahn School of Medicine at Mount Sinai, USA)
Motoki Shiga (Gifu University, Japan)
Oliver Stegle (EMBL-European Bioinformatics Institute, UK)
Koji Tsuda (The University of Tokyo, Japan)
Giorgio Valentini (Universita' degli Studi di Milano, Italy)
Jinbo Xu (Toyota Technological Institute at Chicago, USA)
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Contact
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