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    BIOSYSTEMS
    2007
    115views more  BIOSYSTEMS 2007»
    Evolving fuzzy rules to model gene expression
    13 years 7 months ago
    Evolving fuzzy rules to model gene expression
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    This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
    Ricardo Linden, Amit Bhaya
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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
    Download  www.biomedcentral.com
    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
    2004
    185views more  BMCBI 2004»
    Linear fuzzy gene network models obtained from microarray data by exhaustive search
    13 years 7 months ago
    Linear fuzzy gene network models obtained from microarray data by exhaustive search
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    Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
    Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 8 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
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    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    IJCNN
    2006
    IEEE
    186views Neural Networks» more  IJCNN 2006»
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    14 years 1 months ago
    Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
    Download  www-rohan.sdsu.edu
    - Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
    Azhar Salim, Faramarz Valafar
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