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    BMCBI
    2006
    136views more  BMCBI 2006»
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
    13 years 5 months ago
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
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    Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
    Raja Loganantharaj, Satish Cheepala, John Clifford
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    BMCBI
    2004
    181views more  BMCBI 2004»
    Iterative class discovery and feature selection using Minimal Spanning Trees
    13 years 5 months ago
    Iterative class discovery and feature selection using Minimal Spanning Trees
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    Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
    Sudhir Varma, Richard Simon
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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 5 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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    SAC
    2006
    ACM
    70views Applied Computing» more  SAC 2006»
    Two-phase clustering strategy for gene expression data sets
    13 years 11 months ago
    Two-phase clustering strategy for gene expression data sets
    Download  web1.bib.uni-hildesheim.de
    In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
    Dirk Habich, Thomas Wächter, Wolfgang Lehner,...
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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 5 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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