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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    13 years 5 months ago
    Gene selection algorithms for microarray data based on least squares support vector machine
    Download  www.biomedcentral.com
    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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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 11 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
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 5 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    Download  www.biomedcentral.com
    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    AUSAI
    2007
    Springer
    176views Artificial Intelligence» more  AUSAI 2007»
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    13 years 9 months ago
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    Download  www.csse.monash.edu.au
    Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
    Peter J. Tan, David L. Dowe, Trevor I. Dix
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    KDD
    2002
    ACM
    170views Data Mining» more  KDD 2002»
    Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
    14 years 5 months ago
    Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
    Download  www.cs.sfu.ca
    When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
    Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
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