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6th International Workshop on Machine Learning in Systems Biology (MLSB), Basel 2012

6th International Workshop on Machine Learning in Systems Biology (MLSB), Basel 2012

21 Videos · Sep 8, 2012

About

MLSB12, the Sixth International Workshop on Machine Learning in Systems Biology was held in Basel, Switzerland on September 8-9, 2012.

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.

Most of the workshop proceedings are available at the Bioinformatics Journal, Volume 28 Issue 21 November 1, 2012.

The Workshop was organized as "Satellite Meeting" of the 11th European Conference on Computational Biology (ECCB) by Karsten Borgwardt and Gunnar Rätsch. MLSB 2012 is supported by the PASCAL2 Network of Excellence.

To find out more please visit the MLSB 2012 website.

Videos

Introduction

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04:44

Introduction

Karsten Michael Borgwardt

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Invited Talks

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01:00:45

Deciphering transcription regulation: from individual sites to cell type specifi...

Uwe Ohler

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01:00:07

The genetics of individuals: why would a mutation kill me, but not you?

Ben Lehner

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54:46

Signatures of evolution and systems organization from an Arabidopsis interactome...

Pascal Falter-Braun

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01:02:03

Kernel methods for genomic data fusion

Yves Moreau

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Lectures

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26:34

Boosting statistical network inference by incorporating prior knowledge from mul...

Paurush Praveen

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23:05

Targeted retrieval of gene expression measurements using regulatory models

Elisabeth Georgii

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27:59

Network inference using steady-state data and Goldbeter-Koshland kinetics

Chris J Oates

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28:37

Predicting drug-target interactions from chemical and genomic kernels using Baye...

Mehmet Gönen

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25:32

Active and guided learning of enzyme function

Luna De Ferrari

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22:41

Using PPI Networks in hierarchical multi-label classification trees for gene fun...

Daniela Stojanova

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29:00

Metabolite identification and molecular fingerprint prediction via machine learn...

Markus Heinonen

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18:50

Inferring gene regulatory networks using ensembles of feature selection techniqu...

Joeri Ruyssinck

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24:45

Efficient, data-based network inference using a linear programming approach

Bettina Knapp

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21:14

Integrating literature-constrained and data-driven inference of signalling netwo...

Federica Eduati

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22:59

Context-specific transcriptional regulatory network inference from global gene e...

Jianlong Qi

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Private
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19:15

Inferring epigenetic and transcriptional regulation during blood cell developmen...

Thais G. do Rego

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22:47

Efficient sampling for Bayesian inference of conjunctive Bayesian networks

Thomas Sakoparnig

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30:03

Learning a Markov logic network for supervised gene regulation inference: applic...

Florence d'Alche-Buc

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Draft
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29:31

Helios: discovering driver oncogenes

Felix Sanchez-Garcia

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Closing

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02:37

Closing remarks

Karsten Michael Borgwardt

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