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    COGSCI
    2008
    90views more  COGSCI 2008»
    Using fMRI to Test Models of Complex Cognition
    13 years 4 months ago
    Using fMRI to Test Models of Complex Cognition
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    This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
    John R. Anderson, Cameron S. Carter, Jon M. Fincha...
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    SCFBM
    2008
    119views more  SCFBM 2008»
    Permutation - based statistical tests for multiple hypotheses
    13 years 4 months ago
    Permutation - based statistical tests for multiple hypotheses
    Download  www.scfbm.org
    Background: Genomics and proteomics analyses regularly involve the simultaneous test of hundreds of hypotheses, either on numerical or categorical data. To correct for the occurre...
    Anyela Camargo, Francisco Azuaje, Haiying Wang, Hu...
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    BMCBI
    2004
    169views more  BMCBI 2004»
    A power law global error model for the identification of differentially expressed genes in microarray data
    13 years 4 months ago
    A power law global error model for the identification of differentially expressed genes in microarray data
    Download  www.biomedcentral.com
    Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
    Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
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    KDD
    2004
    ACM
    154views Data Mining» more  KDD 2004»
    Diagnosing extrapolation: tree-based density estimation
    14 years 5 months ago
    Diagnosing extrapolation: tree-based density estimation
    Download  www.bscb.cornell.edu
    There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
    Giles Hooker
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    BMCBI
    2007
    120views more  BMCBI 2007»
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
    13 years 4 months ago
    Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
    Download  www.biomedcentral.com
    Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
    Xin Lu, David L. Perkins
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