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    BMCBI
    2007
    151views more  BMCBI 2007»
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
    13 years 7 months ago
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
    Download  www.biomedcentral.com
    Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
    Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 8 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    BIOINFORMATICS
    2006
    124views more  BIOINFORMATICS 2006»
    Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
    13 years 7 months ago
    Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
    Download  eprints.pascal-network.org
    Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
    Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
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    CMSB
    2004
    Springer
    120views Applied Computing» more  CMSB 2004»
    Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data
    13 years 11 months ago
    Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data
    Download  tswww.ism.ac.jp
    We propose a robust estimation method of gene networks based on microarray gene expression data. It is well-known that microarray data contain a large amount of noise and some outl...
    Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna J...
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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
    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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