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    BMCBI
    2006
    122views more  BMCBI 2006»
    A multivariate prediction model for microarray cross-hybridization
    13 years 8 months ago
    A multivariate prediction model for microarray cross-hybridization
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    Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
    Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
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    BMCBI
    2010
    160views more  BMCBI 2010»
    Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
    13 years 8 months ago
    Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
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    Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
    Junbai Wang, Tianhai Tian
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    GECCO
    2005
    Springer
    93views Optimization» more  GECCO 2005»
    Using gene deletion and gene duplication in evolution strategies
    14 years 2 months ago
    Using gene deletion and gene duplication in evolution strategies
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    Self-adaptation of the mutation strengths is a powerful mechanism in evolution strategies (ES), but it can fail. As a consequence premature convergence or ending up in a local opt...
    Karlheinz Schmitt
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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 10 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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    BMCBI
    2004
    146views more  BMCBI 2004»
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    13 years 8 months ago
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    Download  www.biomedcentral.com
    Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
    Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
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