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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    13 years 7 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    BMCBI
    2006
    136views more  BMCBI 2006»
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
    13 years 7 months ago
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
    Download  www.biomedcentral.com
    Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
    Raja Loganantharaj, Satish Cheepala, John Clifford
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    BMCBI
    2007
    148views more  BMCBI 2007»
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    13 years 7 months ago
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    Download  www.biomedcentral.com
    Background: The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis a...
    Elisabetta Sbisà, Domenico Catalano, Giorgi...
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    RECOMB
    2008
    Springer
    158views Computational Biology» more  RECOMB 2008»
    Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
    14 years 8 months ago
    Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
    Download  acgt.cs.tau.ac.il
    We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
    Igor Ulitsky, Richard M. Karp, Ron Shamir
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Significance analysis of microarray transcript levels in time series experiments
    13 years 7 months ago
    Significance analysis of microarray transcript levels in time series experiments
    Download  www.biomedcentral.com
    Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
    Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....
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