The detailed program including is available for download here.

PASCAL2 Invited Speakers

Uwe Ohler, Duke University, North Carolina, and Berlin Institute for Medical Systems Biology/Max Delbrück Center & Humboldt Universität Berlin Abstract

Yves Moreau, Chair of Bioinformatics, KU Leuven. Abstract

Pascal Falter-Braun, Center of Life and Food Sciences Weihenstephan, Technical University Munich. Abstract

Ben Lehner, EMBL-CRG Systems Biology Unit, Centre for Genomic Regulation, Barcelona. Abstract


September 8, 2012, Congress Center Basel, Workshop WS1


Session 1: 8:50am-10:30am*

  • Introduction
  • Invited Talk: Uwe Ohler, Duke University, Deciphering transcription regulation: from individual sites to cell type specific expression
  • Jianlong Qi: Context-specific transcriptional regulatory network inference from global gene expression maps using double two-way t-tests

Coffee Break: 10:30am-11:00am

Session 2: 11:00am-12:30pm

  • Luna De Ferrari: Active and guided learning of enzyme function
  • Joeri Ruyssinck: Inferring gene regulatory networks using ensembles of feature selection techniques
  • Thais G. do Rego: Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models*

Lunch: 12:30pm-1:30pm

Session 3: 1:30pm-3:00pm

  • Invited Talk: Yves Moreau, KU Leuven, Kernel methods for genomic data fusion
  • Bettina Knapp: Efficient, data-based network inference using a linear programming approach

Poster Session 3:00pm-4:30pm

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

  • Celine Brouard: Learning a Markov logic network for supervised gene regulation inference: application to the ID2 regulatory network in human keratinocytes
  • Federica Eduati: Integrating literature-constrained and data-driven inference of signalling networks
  • Daniela Stojanova: Using PPI Networks in hierarchical multi-label classification trees for gene function prediction

September 9, 2012, Congress Center Basel, Workshop WS1

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

  • Invited Talk: Pascal Falter-Braun, TU Munich, Signatures of evolution and systems organization from an Arabidopsis interactome network map
  • Paurush Praveen: Boosting statistical network inference by incorporating prior knowledge from multiple sources

Coffee Break: 10:30am-11:00am

Session 6: 11:00am-12:30pm

  • Mehmet Gönen: Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
  • Elisabeth Georgii: Targeted retrieval of gene expression measurements using regulatory models
  • Markus Heinonen: Metabolite identification and molecular fingerprint prediction via machine learning

Lunch: 12:30pm-1:30pm

Session 7: 1:30pm-3:00pm

  • Invited Talk: Ben Lehner, Centre for Genomic Regulation Barcelona, The genetics of individuals: why would a mutation kill me, but not you?
  • Chris Oates: Network inference using steady-state data and Goldbeter-Koshland kinetics

Coffee Break 3:00pm-3:30pm

Session 8: 3:30pm-4:30pm

  • Thomas Sakoparnig: Efficient sampling for Bayesian inference of conjunctive Bayesian networks
  • Felix Sanchez-Garcia: Helios: discovering driver oncogenes

Closing Remarks: 4:30pm