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    » A Multi-metric Similarity Based Analysis of Microarray Data
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    DILS
    2005
    Springer
    174views Life Sciences» more  DILS 2005»
    Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
    14 years 1 months ago
    Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
    Download  infos.korea.ac.kr
    Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
    Jaewoo Kang, Jiong Yang, Wanhong Xu, Pankaj Chopra
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    BMCBI
    2010
    151views more  BMCBI 2010»
    TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
    13 years 7 months ago
    TF-finder: A software package for identifying transcription factors involved in biological processes using microarray data and e
    Download  www.biomedcentral.com
    Background: Identification of transcription factors (TFs) involved in a biological process is the first step towards a better understanding of the underlying regulatory mechanisms...
    Xiaoqi Cui, Tong Wang, Huann-Sheng Chen, Victor Bu...
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    IMSCCS
    2006
    IEEE
    148views Theoretical Computer Science» more  IMSCCS 2006»
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    14 years 1 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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    JIFS
    2002
    134views more  JIFS 2002»
    Classification of gene expression data using fuzzy logic
    13 years 7 months ago
    Classification of gene expression data using fuzzy logic
    Download  www.mit.edu
    Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
    Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...
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    BMCBI
    2006
    88views more  BMCBI 2006»
    A two-sample Bayesian t-test for microarray data
    13 years 7 months ago
    A two-sample Bayesian t-test for microarray data
    Download  www.biomedcentral.com
    Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
    Richard J. Fox, Matthew W. Dimmic
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