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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 6 months ago
    Gene selection for classification of microarray data based on the Bayes error
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    Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
    Ji-Gang Zhang, Hong-Wen Deng
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    13 years 6 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Towards precise classification of cancers based on robust gene functional expression profiles
    13 years 6 months ago
    Towards precise classification of cancers based on robust gene functional expression profiles
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    Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
    Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
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    CSB
    2005
    IEEE
    156views Bioinformatics» more  CSB 2005»
    A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
    13 years 12 months ago
    A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
    Download  conferences.computer.org
    One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
    Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 6 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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