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    NCA
    2007
    IEEE
    109views Computer Networks» more  NCA 2007»
    A data reduction approach for resolving the imbalanced data issue in functional genomics
    13 years 4 months ago
    A data reduction approach for resolving the imbalanced data issue in functional genomics
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    Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
    Kihoon Yoon, Stephen Kwek
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    BMCBI
    2011
    242views Artificial Intelligence» more  BMCBI 2011»
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    12 years 12 months ago
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    Download  www.biomedcentral.com
    Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
    Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
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    ISBI
    2004
    IEEE
    222views Medical Imaging» more  ISBI 2004»
    Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
    14 years 5 months ago
    Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
    Download  ftp.cea.fr
    In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
    Olivier D. Faugeras, Bertrand Thirion
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 8 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 5 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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