SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms

BACKGROUND: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validation of these algorithms requires benchmark data sets for which the underlying network is known. Since experimental data set...

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Detalhes bibliográficos
Main Authors: Van den Bulcke, Tim, Van Leemput, Koenraad, Naudts, Bart, van Remortel, Piet, Ma, Hongwu, Verschoren, Alain, De Moor, Bart, Marchal, Kathleen
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2006
Assuntos:
Methodology Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1373604/
https://ncbi.nlm.nih.gov/pubmed/16438721
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-43
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