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    GPB
    2010
    231views Solid Modeling» more  GPB 2010»
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    13 years 5 months ago
    Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
    Download  estbioinfo.stat.ub.es
    The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
    Ferran Reverter, Esteban Vegas, Pedro Sánch...
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    BMCBI
    2010
    108views more  BMCBI 2010»
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
    13 years 7 months ago
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
    Download  www.biomedcentral.com
    Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
    Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
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    BIOCOMP
    2006
    100views Bioinformatics» more  BIOCOMP 2006»
    Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
    13 years 9 months ago
    Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates
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    Based on microarray gene expression datasets, many statistical methods have been proposed to locate the significant differentially expressed genes (marker genes) among different sa...
    Atiq Islam, Khan M. Iftekharuddin, David J. Russom...
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    TCSB
    2008
    161views Computational Biology» more  TCSB 2008»
    Clustering Time-Series Gene Expression Data with Unequal Time Intervals
    13 years 7 months ago
    Clustering Time-Series Gene Expression Data with Unequal Time Intervals
    Download  cs.uwindsor.ca
    Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
    Luis Rueda, Ataul Bari, Alioune Ngom
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    EDM
    2009
    110views Data Mining» more  EDM 2009»
    Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
    13 years 5 months ago
    Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
    Download  www.educationaldatamining.org
    A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
    Mingyu Feng, Joseph Beck, Neil T. Heffernan
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