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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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Bibliografski detalji
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2007
Teme:
Online pristup: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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