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» Approximating Betweenness Centrality
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BMCBI
2006
239views more  BMCBI 2006»
15 years 6 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
BMCBI
2006
216views more  BMCBI 2006»
15 years 6 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
BMCBI
2006
110views more  BMCBI 2006»
15 years 6 months ago
Modelling the network of cell cycle transcription factors in the yeast Saccharomyces cerevisiae
Background: Reverse-engineering regulatory networks is one of the central challenges for computational biology. Many techniques have been developed to accomplish this by utilizing...
Shawn Cokus, Sherri Rose, David Haynor, Niels Gr&o...
BMCBI
2006
87views more  BMCBI 2006»
15 years 6 months ago
Phylogeny based discovery of regulatory elements
Background: Algorithms that locate evolutionarily conserved sequences have become powerful tools for finding functional DNA elements, including transcription factor binding sites;...
Jason Gertz, Justin C. Fay, Barak A. Cohen
ENTCS
2006
138views more  ENTCS 2006»
15 years 6 months ago
Variables as Resource in Separation Logic
Separation logic [20,21,14] began life as an extended formalisation of Burstall's treatment of list-mutating programs [8]. It rapidly became clear that there was more that it...
Richard Bornat, Cristiano Calcagno, Hongseok Yang