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    BMCBI
    2007
    112views more  BMCBI 2007»
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    13 years 8 months ago
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    Download  www.biomedcentral.com
    Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
    Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
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    BMCBI
    2006
    127views more  BMCBI 2006»
    Using local gene expression similarities to discover regulatory binding site modules
    13 years 8 months ago
    Using local gene expression similarities to discover regulatory binding site modules
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    Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
    Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...
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    KDD
    2004
    ACM
    237views Data Mining» more  KDD 2004»
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    14 years 9 months ago
    Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
    Download  www.eh3.uc.edu
    Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
    Mario Medvedovic, Junhai Guo
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    CSB
    2003
    IEEE
    106views Bioinformatics» more  CSB 2003»
    Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss
    14 years 1 months ago
    Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss
    Download  www.cs.unc.edu
    As gene order evolves through a variety of chromosomal rearrangements, conserved segments provide important insight into evolutionary relationships and functional roles of genes. ...
    Jun Huan, Jan Prins, Wei Wang 0010, Todd J. Vision
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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    14 years 16 days ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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