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    » Model-Based Statistical Testing of a Cluster Utility
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
    13 years 4 months ago
    Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
    Download  www.biomedcentral.com
    Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
    Scott D. Zuyderduyn
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    DAGSTUHL
    2004
    103views Software Engineering» more  DAGSTUHL 2004»
    Local Pattern Detection and Clustering
    13 years 6 months ago
    Local Pattern Detection and Clustering
    Download  public.fh-wolfenbuettel.de
    Abstract. The starting point of this work is the definition of local pattern detection given in [10] as the unsupervised detection of local regions with anomalously high data densi...
    Frank Höppner
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    BMCBI
    2006
    213views more  BMCBI 2006»
    CoXpress: differential co-expression in gene expression data
    13 years 4 months ago
    CoXpress: differential co-expression in gene expression data
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    Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
    Michael Watson
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    SDM
    2009
    SIAM
    160views Data Mining» more  SDM 2009»
    Discovering Substantial Distinctions among Incremental Bi-Clusters.
    14 years 2 months ago
    Discovering Substantial Distinctions among Incremental Bi-Clusters.
    Download  www.siam.org
    A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...
    Faris Alqadah, Raj Bhatnagar
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    BIB
    2011
    253views Artificial Intelligence» more  BIB 2011»
    Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
    12 years 8 months ago
    Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
    Download  linus.nci.nih.gov
    Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
    Richard M. Simon, Jyothi Subramanian, Ming-Chung L...
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