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    » Gene Level Concurrency in Genetic Algorithms
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    ISCIS
    2003
    Springer
    109views Information Technology» more  ISCIS 2003»
    Gene Level Concurrency in Genetic Algorithms
    13 years 10 months ago
    Gene Level Concurrency in Genetic Algorithms
    Download  www.ceng.metu.edu.tr
    This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. ...
    Onur Tolga Sehitoglu, Göktürk Ü&cce...
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    GECCO
    2004
    Springer
    104views Optimization» more  GECCO 2004»
    A Genetic Approach for Gene Selection on Microarray Expression Data
    13 years 10 months ago
    A Genetic Approach for Gene Selection on Microarray Expression Data
    Download  www.cs.york.ac.uk
    Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
    Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon
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    BIOCOMP
    2006
    120views Bioinformatics» more  BIOCOMP 2006»
    Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
    13 years 6 months ago
    Learning Genetic and Gene Bayesian Networks with Hidden Variables: Bilayer Verification Algorithm
    Download  ww1.ucmss.com
    To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
    Jason E. Aten
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    ICPPW
    2005
    IEEE
    105views Distributed And Parallel Com...» more  ICPPW 2005»
    Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
    13 years 10 months ago
    Gene Ordering in Microarray Data Using Parallel Memetic Algorithms
    Download  www.cs.newcastle.edu.au
    This paper addresses the Microarray Gene Ordering problem. It consists in ordering a set of genes, grouping together the ones with similar behavior. This behavior can be measured ...
    Alexandre Mendes, Carlos Cotta, Vinícius Ga...
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    BMCBI
    2010
    179views more  BMCBI 2010»
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    13 years 4 months ago
    A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
    Download  www.biomedcentral.com
    Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
    Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
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