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    » Feature selection for genetic sequence classification
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    BIOINFORMATICS
    1998
    64views more  BIOINFORMATICS 1998»
    Feature selection for genetic sequence classification
    14 years 9 months ago
    Feature selection for genetic sequence classification
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    Nadia A. Chuzhanova, Antonia J. Jones, Steve Marge...
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    BMCBI
    2004
    167views more  BMCBI 2004»
    Feature selection for splice site prediction: A new method using EDA-based feature ranking
    14 years 9 months ago
    Feature selection for splice site prediction: A new method using EDA-based feature ranking
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    Background: The identification of relevant biological features in large and complex datasets is an important step towards gaining insight in the processes underlying the data. Oth...
    Yvan Saeys, Sven Degroeve, Dirk Aeyels, Pierre Rou...
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    IJIT
    2004
    238views Artificial Intelligence» more  IJIT 2004»
    Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a re
    14 years 10 months ago
    Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a re
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    A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...
    Gert Van Dijck, Marc M. Van Hulle, M. Wevers
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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
    15 years 3 months ago
    Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
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    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
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    14 years 9 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
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    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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