Invited speakers

Pierre Baldi, UCI University, California, USA

  • Carbon-Based Computing Vs Silicon-Based Computing: A New Theory of Circadian Rhythms Abstract

Anne-Laure Boulesteix, Department of Computational Molecular Medecine, IBE, Ludwig-Maximilians Universität München, Germany

  • Statistical testing and variability in real-data-based benchmark experiments for supervised learning methods Abstract

Karsten Borgwardt, Department of Biosystems Science and Engineering (D-BSSE), ETH Zürich, Switzerland

  • Machine Learning for Personalized Medicine Abstract

Jean-Loup Faulon, IBSS, CNRS, Genopole, University of Evry, France

  • Using Machine Learning in Synthetic Biology: The Design-Build-Test and Learn cycle Abstract

Nicola Segata, Centre for Integrative Biology, University of Trento, Italy

  • Machine learning challenges in computational meta'omics Abstract

Kathleen Marchal, Depts. Plant Biotechnology and Bioinformatics; Information Technology (INTEC, iMINDS), U.Ghent; Dept. of Microbial and Molecular Systems, K.U.Leuven, Belgium

  • Network-based data-integration: applications to clonal systems Abstract

Program


September saturday 6th, 2014, location FORUM (Forum of the Medecine Campus, 4 rue Kirschleger), Workshop W09

Registration

Session 1: 9am-10:30am

  • Introduction
  • Invited Talk: Pierre Baldi, UCI University, Carbon-Based Computing Vs Silicon-Based Computing: A New Theory of Circadian Rhythms
  • Daniel Trejo-Banos: Structural inference in oscillatory networks: a case study of the Arabidopsis Thaliana circadian clock

Coffee Break: 10:30am-10:45am

Session 2: 10:45am-12pm

  • Xin Liu: Parameter Estimation in Computational Biology by Approximate Bayesian Computation coupled with Sensitivity Analysis
  • Van Anh Huynh-Thu: A hybrid approach for the inference and modelling of gene regulatory networks
  • Karel Jalovec: Classification of metagenomic samples using discriminative DNA superstrings (short talk)

Lunch: 12pm-1:30pm

Session 3: 1:30pm-3:30pm

  • Invited Talk: Nicola Segata, University of Trento, Machine learning challenges in computational meta'omics
  • Eugen Bauer: Metabolic Meta-Reconstruction and Community Modeling of Intestinal Microbes
  • Aalt van Dijk: Interspecies Association Mapping: connecting phenotypes to sequence regions across species

Poster Session 3:30pm-4:30pm

Session 4: 4:30pm-6:00pm

  • Invited Talk: Anne-Laure Boulesteix, LMU Munich, Statistical testing and variability in real-data-based benchmark experiments for supervised learning methods
  • Adrien Dessy: Computationally Efficient Test for Gene Set Dysregulation (short talk)
  • Sohan Seth: Differential analysis of whole-genome shotgun sequences (short talk)

September sunday 7th, 2014, location FORUM (Forum of the Medecine Campus, 4 rue Kirschleger), Workshop W09

Session 5: 9:00am-10:30am

  • Invited Talk: Jean-Loup Faulon, CNRS, Using Machine Learning in Synthetic Biology: The Design-Build-Test and Learn cycle
  • Tom Mayo: M3D: a kernel-based test for shape changes in methylation profiles

Coffee Break: 10:30am-10:45am

Session 6: 10:45am-12pm

  • Pooya Zakeri: Application of Geometric Kernel Data Fusion in Protein Fold Recognition and Protein Sub-nuclear Localization
  • Yawwani Gunawardana: Outlier-Detecting Support Vector Regression for Modelling at the Transcriptome-Proteome Interface
  • Olivier Poirion: Structuration of the bacterial replicon space (short talk)

Lunch: 12pm-1:30pm

Session 7: 1:30pm-3:30pm

  • Invited Talk: Karsten Borgwardt, ETH Zürich, Machine Learning for Personalized Medicine
  • Anna Cichonska: Meta-analysis of Genome-Wide Association Studies with Multivariate Traits
  • Roland Barriot: Semi-automatic Validation of Genome-wide Reassembled Systems by Gene Prioritization through Weighted Data Fusion

Poster Session with coffee 3:30pm-4:20pm

Session 8: 4:20pm-5:20pm

  • Invited Talk: Katheen Marchal, KU Leuven & U Ghent, Network-based data-integration: applications to clonal systems
  • Closing Remarks

Opening lecture of ECCB'14 main conference: 6pm