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    BMCBI
    2011
    192views Artificial Intelligence» more  BMCBI 2011»
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
    12 years 8 months ago
    A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
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    Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
    Alfredo A. Kalaitzis, Neil D. Lawrence
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    JCB
    2000
    103views more  JCB 2000»
    Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
    13 years 4 months ago
    Testing for Differentially-Expressed Genes by Maximum-Likelihood Analysis of Microarray Data
    Download  xobi.net
    Although two-color uorescent DNA microarrays are now standard equipment in many molecular biology laboratories, methods for identifying differentially expressed genes in microarra...
    Trey Ideker, Vesteinn Thorsson, Andrew F. Siegel, ...
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    BMCBI
    2011
    242views Artificial Intelligence» more  BMCBI 2011»
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    12 years 11 months ago
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
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    Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
    Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
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    BMCBI
    2010
    154views more  BMCBI 2010»
    Candidate gene prioritization by network analysis of differential expression using machine learning approaches
    13 years 4 months ago
    Candidate gene prioritization by network analysis of differential expression using machine learning approaches
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    Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
    Daniela Nitsch, Joana P. Gonçalves, Fabian ...
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    BMCBI
    2006
    64views more  BMCBI 2006»
    FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis
    13 years 4 months ago
    FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis
    Download  seas006.udc.edu
    Lily R. Liang, Shiyong Lu, Xuena Wang, Yi Lu, Vina...
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