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    ITSSA
    2006
    109views more  ITSSA 2006»
    Gene Expression Analysis in Multi-Agent Environment
    13 years 8 months ago
    Gene Expression Analysis in Multi-Agent Environment
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    Abstract. This paper presents a multi-agent approach to gene expression analysis and illustrates the working steps using real dataset produced from a microarray experiment. The ana...
    H. C. Lam, M. Vazquez, B. Juneja, Scott C. Fahrenk...
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    BMCBI
    2006
    112views more  BMCBI 2006»
    Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data
    13 years 8 months ago
    Assessment of the relationship between pre-chip and post-chip quality measures for Affymetrix GeneChip expression data
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    Background: Gene expression microarray experiments are expensive to conduct and guidelines for acceptable quality control at intermediate steps before and after the samples are hy...
    Lesley Jones, Darlene R. Goldstein, Gareth P. Hugh...
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    BMCBI
    2008
    126views more  BMCBI 2008»
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
    13 years 8 months ago
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
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    Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
    Katerina Kechris, Hao Li
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    13 years 8 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
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    Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
    Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
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    BMCBI
    2005
    110views more  BMCBI 2005»
    Considerations when using the significance analysis of microarrays (SAM) algorithm
    13 years 8 months ago
    Considerations when using the significance analysis of microarrays (SAM) algorithm
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    Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
    Ola Larsson, Claes Wahlestedt, James A. Timmons
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