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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 7 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    BMCBI
    2007
    149views more  BMCBI 2007»
    Novel and simple transformation algorithm for combining microarray data sets
    13 years 7 months ago
    Novel and simple transformation algorithm for combining microarray data sets
    Download  www.biomedcentral.com
    Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
    Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
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    ICML
    2007
    IEEE
    126views Machine Learning» more  ICML 2007»
    Hybrid huberized support vector machines for microarray classification
    14 years 8 months ago
    Hybrid huberized support vector machines for microarray classification
    Download  www.machinelearning.org
    The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
    Li Wang, Ji Zhu, Hui Zou
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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    13 years 9 months ago
    A Novel Feature Selection Method to Improve Classification of Gene Expression Data
    Download  crpit.com
    This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
    Liang Goh, Qun Song, Nikola K. Kasabov
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    BMCBI
    2004
    139views more  BMCBI 2004»
    Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
    13 years 7 months ago
    Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
    Download  www.biomedcentral.com
    Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
    Jeffrey P. Townsend
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