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    BMCBI
    2010
    167views more  BMCBI 2010»
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
    13 years 7 months ago
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
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    Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
    Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
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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
    2007
    130views more  BMCBI 2007»
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
    13 years 7 months ago
    A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
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    Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
    Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
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    GECCO
    2004
    Springer
    132views Optimization» more  GECCO 2004»
    Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
    14 years 25 days ago
    Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
    Download  www.ra.cs.uni-tuebingen.de
    Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
    Christian Spieth, Felix Streichert, Nora Speer, An...
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    JMLR
    2010
    159views more  JMLR 2010»
    Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
    13 years 2 months ago
    Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
    Download  www.princeton.edu
    Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
    Nikolai Slavov
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