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    GPEM
    2002
    82views more  GPEM 2002»
    The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
    13 years 4 months ago
    The Proportional Genetic Algorithm: Gene Expression in a Genetic Algorithm
    Download  ivan.research.ucf.edu
    Annie S. Wu, Ivan I. Garibay
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    ACSC
    2009
    IEEE
    204views Theoretical Computer Science» more  ACSC 2009»
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
    13 years 11 months ago
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
    Download  crpit.com
    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
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    GECCO
    2007
    Springer
    179views Optimization» more  GECCO 2007»
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    13 years 10 months ago
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
    Download  www.cs.bham.ac.uk
    Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
    Alper Küçükural, Reyyan Yeniterzi...
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    BMCBI
    2004
    158views more  BMCBI 2004»
    Incremental genetic K-means algorithm and its application in gene expression data analysis
    13 years 4 months ago
    Incremental genetic K-means algorithm and its application in gene expression data analysis
    Download  www.biomedcentral.com
    Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
    Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    13 years 4 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    Download  www.biomedcentral.com
    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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