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    CATA
    2009
    186views Computer Science» more  CATA 2009»
    Nearest Shrunken Centroid as Feature Selection of Microarray Data
    13 years 6 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
    2008
    179views more  BMCBI 2008»
    Building pathway clusters from Random Forests classification using class votes
    13 years 5 months ago
    Building pathway clusters from Random Forests classification using class votes
    Download  www.biomedcentral.com
    Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
    Herbert Pang, Hongyu Zhao
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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 5 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 6 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    JCB
    2002
    160views more  JCB 2002»
    Inference from Clustering with Application to Gene-Expression Microarrays
    13 years 5 months ago
    Inference from Clustering with Application to Gene-Expression Microarrays
    Download  www.vision.ime.usp.br
    There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
    Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
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