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BMCBI
2005
126views more  BMCBI 2005»
15 years 6 months ago
HomoMINT: an inferred human network based on orthology mapping of protein interactions discovered in model organisms
Background: The application of high throughput approaches to the identification of protein interactions has offered for the first time a glimpse of the global interactome of some ...
Maria Persico, Arnaud Ceol, Caius Gavrila, Robert ...
ACSC
2009
IEEE
16 years 1 months ago
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
Armita Zarnegar, Peter Vamplew, Andrew Stranieri
BMCBI
2006
84views more  BMCBI 2006»
15 years 6 months ago
Inferring topology from clustering coefficients in protein-protein interaction networks
Background: Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete inte...
Caroline C. Friedel, Ralf Zimmer
EWSN
2008
Springer
16 years 6 months ago
Distributed Inference for Network Localization Using Radio Interferometric Ranging
Abstract. A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itse...
Dennis Lucarelli, Anshu Saksena, Ryan Farrell, I-J...
ICA
2010
Springer
15 years 5 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen