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» On Timed Models of Gene Networks
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ALIFE
2008
13 years 7 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
ENTCS
2010
97views more  ENTCS 2010»
13 years 5 months ago
A Framework for Modelling and Simulating Networks of Cells
Several complex biological phenomena are to be modelled in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartmen...
Sara Montagna, Mirko Viroli
CCE
2008
13 years 8 months ago
Informative gene selection and design of regulatory networks using integer optimization
A central problem in bioinformatics and systems biology is the selection of appropriate models in a rational and systematic way. This fundamentally combinatorial problem can be re...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Ioa...
CEC
2005
IEEE
14 years 1 months ago
Clustering-based approach to identify solutions for the inference of regulatory networks
Abstract- 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 depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...