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    » Analyzing time series gene expression data
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    BMCBI
    2005
    153views more  BMCBI 2005»
    Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
    13 years 7 months ago
    Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
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    Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
    Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
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    BMCBI
    2010
    111views more  BMCBI 2010»
    Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
    13 years 7 months ago
    Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
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    Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
    Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    13 years 7 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2007
    176views more  BMCBI 2007»
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
    13 years 7 months ago
    Genome Expression Pathway Analysis Tool - Analysis and visualization of microarray gene expression data under genomic, proteomic
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    Background: Regulation of gene expression is relevant to many areas of biology and medicine, in the study of treatments, diseases, and developmental stages. Microarrays can be use...
    Markus Weniger, Julia C. Engelmann, Jörg Schu...
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    BMCBI
    2006
    114views more  BMCBI 2006»
    Empirical validation of the S-Score algorithm in the analysis of gene expression data
    13 years 7 months ago
    Empirical validation of the S-Score algorithm in the analysis of gene expression data
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    Background: Current methods of analyzing Affymetrix GeneChip
    Richard E. Kennedy, Kellie J. Archer, Michael F. M...
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