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.



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.


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


Scientific Program Committee 2016

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)



For further information, please contact