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    BMCBI
    2010
    164views more  BMCBI 2010»
    Merged consensus clustering to assess and improve class discovery with microarray data
    14 years 7 months ago
    Merged consensus clustering to assess and improve class discovery with microarray data
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    Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
    T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
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    BMCBI
    2010
    161views more  BMCBI 2010»
    GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms
    14 years 9 months ago
    GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms
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    Background: An important objective of DNA microarray-based gene expression experimentation is determining interrelationships that exist between differentially expressed genes and ...
    Saurin D. Jani, Gary L. Argraves, Jeremy L. Barth,...
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    KAIS
    2007
    100views more  KAIS 2007»
    Mining gene-sample-time microarray data: a coherent gene cluster discovery approach
    14 years 9 months ago
    Mining gene-sample-time microarray data: a coherent gene cluster discovery approach
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    Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Li...
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    BIOINFORMATICS
    2006
    114views more  BIOINFORMATICS 2006»
    Clustering microarray gene expression data using weighted Chinese restaurant process
    14 years 9 months ago
    Clustering microarray gene expression data using weighted Chinese restaurant process
    Download  biocomp.bioen.uiuc.edu
    Zhaohui S. Qin
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    BMCBI
    2007
    148views more  BMCBI 2007»
    Evaluation of gene-expression clustering via mutual information distance measure
    14 years 9 months ago
    Evaluation of gene-expression clustering via mutual information distance measure
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    Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
    Ido Priness, Oded Maimon, Irad E. Ben-Gal
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