Validating module network learning algorithms using simulated data

BACKGROUND: In recent years, several authors have used probabilistic graphical models to learn expression modules and their regulatory programs from gene expression data. Despite the demonstrated success of such algorithms in uncovering biologically relevant regulatory relations, further development...

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Detalhes bibliográficos
Main Authors: Michoel, Tom, Maere, Steven, Bonnet, Eric, Joshi, Anagha, Saeys, Yvan, Van den Bulcke, Tim, Van Leemput, Koenraad, van Remortel, Piet, Kuiper, Martin, Marchal, Kathleen, Van de Peer, Yves
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2007
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1892074/
https://ncbi.nlm.nih.gov/pubmed/17493254
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-S2-S5
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