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    » The ParTriCluster Algorithm for Gene Expression Analysis
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    BMCBI
    2007
    144views more  BMCBI 2007»
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    14 years 9 months ago
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
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    Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
    Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
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    BMCBI
    2008
    178views more  BMCBI 2008»
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
    14 years 9 months ago
    Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate vi
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    Background: The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes ...
    Kin-On Cheng, Ngai-Fong Law, Wan-Chi Siu, Alan Wee...
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    14 years 11 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
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    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    84
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    ISNN
    2004
    Springer
    107views Neural Networks» more  ISNN 2004»
    A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
    15 years 2 months ago
    A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
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    This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
    Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
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    IMSCCS
    2006
    IEEE
    148views Theoretical Computer Science» more  IMSCCS 2006»
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    15 years 3 months ago
    Clustering of Gene Expression Data: Performance and Similarity Analysis
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    Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
    Longde Yin, Chun-Hsi Huang
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