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    BMCBI
    2008
    135views more  BMCBI 2008»
    Knowledge-guided multi-scale independent component analysis for biomarker identification
    13 years 7 months ago
    Knowledge-guided multi-scale independent component analysis for biomarker identification
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    Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
    Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...
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    BMCBI
    2007
    97views more  BMCBI 2007»
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
    13 years 7 months ago
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
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    Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
    Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 7 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
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    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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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
    13 years 11 months ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
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    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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    BMCBI
    2010
    167views more  BMCBI 2010»
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
    13 years 7 months ago
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
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    Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
    Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
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