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    BMCBI
    2008
    135views more  BMCBI 2008»
    Inferring the role of transcription factors in regulatory networks
    13 years 7 months ago
    Inferring the role of transcription factors in regulatory networks
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    Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
    Philippe Veber, Carito Guziolowski, Michel Le Borg...
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    IPPS
    2007
    IEEE
    114views Distributed And Parallel Com...» more  IPPS 2007»
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    14 years 1 months ago
    Message Routing and Scheduling in Optical Multistage Networks using Bayesian Inference method on AI algorithms
    Download  www.cecs.uci.edu
    Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...
    Ajay K. Katangur, Somasheker Akkaladevi
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    BMCBI
    2010
    229views more  BMCBI 2010»
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
    13 years 7 months ago
    Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
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    Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
    Martin Paluszewski, Thomas Hamelryck
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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    13 years 7 months ago
    Comparison of evolutionary algorithms in gene regulatory network model inference
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    Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
    Alina Sîrbu, Heather J. Ruskin, Martin Crane
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    BMCBI
    2010
    176views more  BMCBI 2010»
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
    13 years 7 months ago
    Reverse engineering gene regulatory network from microarray data using linear time-variant model
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    nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
    Mitra Kabir, Nasimul Noman, Hitoshi Iba
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