tschaffter.ch

Thomas Schaffter

In 2008, I graduated with a Master Of Science (MSc) degree in microengineering and robotics from the Ecole Polytechnique Fédérale de Lausanne (EPFL). Then, I joined the laboratory of Intelligent Systems. Directed by Prof. Dario Floreano and started a PhD thesis in biotechnology and bioengineering funded by SystemsX.ch, the Swiss initiative in systems biology. This project was conducted in collaboration with Prof. Markus Affolter from the University of Basel. Reverse engineering biological organisms.

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Thomas Schaffter | tschaffter.ch Reviews

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In 2008, I graduated with a Master Of Science (MSc) degree in microengineering and robotics from the Ecole Polytechnique Fédérale de Lausanne (EPFL). Then, I joined the laboratory of Intelligent Systems. Directed by Prof. Dario Floreano and started a PhD thesis in biotechnology and bioengineering funded by SystemsX.ch, the Swiss initiative in systems biology. This project was conducted in collaboration with Prof. Markus Affolter from the University of Basel. Reverse engineering biological organisms.

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1 thomas schaffter

2 daniel marbach

3 gilles roulet

4 genenetweaver

5 gnw

6 reverse engineering

7 gene regulatory networks

8 network inference

9 benchmark

10 DREAM in silico challenge

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Thomas Schaffter | tschaffter.ch Reviews

https://tschaffter.ch

In 2008, I graduated with a Master Of Science (MSc) degree in microengineering and robotics from the Ecole Polytechnique Fédérale de Lausanne (EPFL). Then, I joined the laboratory of Intelligent Systems. Directed by Prof. Dario Floreano and started a PhD thesis in biotechnology and bioengineering funded by SystemsX.ch, the Swiss initiative in systems biology. This project was conducted in collaboration with Prof. Markus Affolter from the University of Basel. Reverse engineering biological organisms.

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tschaffter.ch

1

Jmod: an extensible toolkit for network module detection

http://www.tschaffter.ch/projects/jmod

An extensible toolkit for community detection in networks. Biological interaction networks are often organized into groups (also called clusters. Of related genes and proteins carrying out specific biological functions. Community detection has numerous applications for systems that can be described as graphs, for example metabolic, neural, social (e.g. Facebook) and technological networks. It provides a repository of community detection methods. One of the latest features enables to take snapshots of the...

2

libSDE: Java library for simulating Stochastic Differential Equations

http://www.tschaffter.ch/projects/libsde

Java library for simulating stochastic differential equations. LibSDE is an open-source Java library for simulating systems of stochastic differential equations (SDEs). SDEs are used to model diverse phenomena such as white noise and Brownian motion (also called Wiener process). Application domains include financial mathematics and economics, signal processing, chemistry, quantum mechanics, meteorology and music. Itô and Stratonovich schemes. Simulating molecular noise in the dynamics of gene networks.

3

Projects | Thomas Schaffter

http://www.tschaffter.ch/projects.php

From genes to organisms: Bioinformatics System Models and Software. Unsupervised and systematic segmentation of the Drosophila. Community structure detection in complex networks. Benchmark generation and performance profiling of network inference methods. Observation and interaction in experimental environments. Scalable reverse engineering of nonlinear gene networks. From genes to organisms: Bioinformatics System Models. Biological interaction networks are often organized into groups (also called cluste...

4

WingJ: towards unsupervised and systematic segmentation of biological organisms

http://www.tschaffter.ch/projects/wingj

Towards unsupervised and systematic segmentation of biological organisms. High-throughput microscopy imaging applications represent an important research field that will one day provide tools for automatic quantification of living organisms at a multiscale systems level (molecular, cellular, and tissue level). In the context of the WingX project, a SystemsX.ch initiative, we developed methods and computational tools for unsupervised segmentation of the Drosophila. Also called wing pouch. WingJ has been d...

5

GeneNetWeaver: in silico benchmark generation and performance profiling of network inference methods

http://www.tschaffter.ch/projects/gnw

Benchmark generation and performance profiling of network inference methods. Our framework is available as an open-source and user-friendly software called GeneNetWeaver (GNW). GNW is the first tool that provides methods for both in silico. Benchmark generation and performance profiling of network inference algorithms. GNW has been developed to easily generate detailed models of gene regulatory networks. One of the main advantages of using in silico. The underlying in silico. Moreover, we have used GNW t...

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Alumni | LIS

http://lis.epfl.ch/alumni

Jump to search field. Laboratory of Intelligent Systems. Laboratory of Intelligent Systems. Laboratory of Intelligent Systems. How to find us. Swarming MAV Networks II. Flight Control in Complex Environments: From Insects to Robots. Joint Evolution of Dispersal and Altruism. Collective behavior of plant inspired robots. Sensorymotor tissues for soft robots. Adaptive Morphology for Multi-Modal Locomotion. Synergistic Interactions in Swarms of Heterogenous Agents. Personal Aerial Transportation Systems.

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Thomas Schaffter

In 2008, I graduated with a Master Of Science (MSc) degree in microengineering and robotics from the Ecole Polytechnique Fédérale de Lausanne (EPFL). Then, I joined the laboratory of Intelligent Systems. Directed by Prof. Dario Floreano and started a PhD thesis in biotechnology and bioengineering funded by SystemsX.ch, the Swiss initiative in systems biology. This project was conducted in collaboration with Prof. Markus Affolter from the University of Basel. Reverse engineering biological organisms.

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