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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 11 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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    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 7 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    Download  www.biomedcentral.com
    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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    BMCBI
    2010
    208views more  BMCBI 2010»
    A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
    13 years 7 months ago
    A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
    Download  www.biomedcentral.com
    Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
    Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
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    CATA
    2009
    186views Computer Science» more  CATA 2009»
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    13 years 8 months ago
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    Download  public.clunet.edu
    The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
    Myungsook Klassen, Nyunsu Kim
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    BMCBI
    2010
    153views more  BMCBI 2010»
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    13 years 7 months ago
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    Download  www.biomedcentral.com
    Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
    Eva Freyhult, Mattias Landfors, Jenny Önskog,...
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