INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
INFERRING GENE REGULATORY NETWORKS BY MACHINE LEARNING METHODS (2008)
Jochen Supper, Holger Fröhlich, Christian Spieth, Andreas Dräger, Andreas Zell
The ability to measure the transcriptional response after a stimulus has drawn much attention to the underlying gene regulatory networks. Several machine learning related methods, such as Bayesian...
Comparing genetic programming and evolution strategies on inferring gene regulatory networks (2007)
Felix Streichert, Hannes Planatscher, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In recent years several strategies for inferring gene regulatory networks from observed time series data of gene expression have been suggested based on Evolutionary Algorithms. But often...
Comparing mathematical models on the problem of network inference (2006)
Christian Spieth, Centre For Bioinformatics
In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different mathematical models on the...
Comparing evolutionary algorithms on the problem of network inference (2006)
Christian Spieth, Centre For Bioinformatics
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evolutionary algorithms on...
Christian Spieth, Msc Christian Spieth
So far, no final decision was made for a license model for JCell. The framework can be downloaded and used as it is without any fees or restrictions. However, we would like to ask for feedback and...
Clustering-based Approach to Identify Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the dependencies of gene regulatory...
Biological Cluster Validity Indices (2005)
Based On The, Nora Speer, Christian Spieth, Andreas Zell
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain new popularity.
Functional Grouping of Genes Using Spectral Clustering And Gene Ontology (2005)
Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell
With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data the need for a functional grouping of genes...
Identifying Valid Solutions for the Inference of Regulatory Networks (2005)
Christian Spieth, Felix Streichert, Andreas Zell, Nora Speer
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. The problem often is multi-modal and therefore appropriate optimization strategies...
Multiobjective model optimization for inferring gene regulatory networks (2005)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological process. The...
Spectral clustering gene ontology terms to group genes by function (2005)
Nora Speer, Christian Spieth, Andreas Zell
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such data the need for...
Functional Distances for Genes Based on GO Feature Maps and their Application to (2005)
Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell
Abstract — With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functional grouping...
How to evolve the head-tail pattern from Reaction–diffusion systems (2004)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to be solved before...
Iteratively inferring gene regulatory networks with virtual knockout experiments (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We introduce enhancements to an Evolutionary Algorithm optimization process...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from artificial data sets of DNA microarray experiments. Some researchers suggested Evolutionary Algorithms for...
A memetic inference method for gene regulatory networks based on s-systems (2004)
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract — In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. As underlying mathematical model we used S-Systems, a quantitative model,...
Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene regulatory networks by...
Evolving the ability of limited growth and self-repair for artificial embryos (2003)
Felix Streichert, Christian Spieth, Holger Ulmer, Andreas Zell
Abstract. In this paper we address the problem of limited growth and the difficulty of self-repair in the field of Artificial Embryology. We implemented a topological simulation of multiple cells...