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» Inferring gene regression networks with model trees
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BMCBI
2008
122views more  BMCBI 2008»
13 years 8 months ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
AB
2008
Springer
14 years 3 months ago
An Algorithm for Qualitative Simulation of Gene Regulatory Networks with Steep Sigmoidal Response Functions
A specific class of ODEs has been shown to be adequate to describe the essential features of the complex dynamics of Gene-Regulatory Networks (GRN). But, the effective exploitatio...
Liliana Ironi, Luigi Panzeri, Erik Plahte
BMCBI
2004
114views more  BMCBI 2004»
13 years 8 months ago
Extending the mutual information measure to rank inferred literature relationships
Background: Within the peer-reviewed literature, associations between two things are not always recognized until commonalities between them become apparent. These commonalities ca...
Jonathan D. Wren
RECOMB
2004
Springer
14 years 9 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven
JBI
2002
13 years 8 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...