Monte Carlo-based Mouse Nuclear Receptor Superfamily Gene Regulatory Network Prediction: Stochastic Dynamical System on Graph with Zipf Prior

A Monte Carlo based algorithm is proposed to predict gene regulatory network structure of mouse nuclear receptor superfamily, about which little is known although those genes are believed to be related with several difficult diseases. The gene expression data is regarded as sample vector trajectorie...

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Veröffentlicht in:	IPSJ Transactions on Bioinformatics 2010, Vol.3, pp.24-39
Hauptverfasser:	Kitamura, Yusuke, Kimiwada, Tomomi, Maruyama, Jun, Kaburagi, Takashi, Matsumoto, Takashi, Wada, Keiji
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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