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    » Bayesian Networks Learning for Gene Expression Datasets
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    14 years 9 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    JCB
    2007
    130views more  JCB 2007»
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    14 years 9 months ago
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    Download  morrislab.med.utoronto.ca
    MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
    Jim C. Huang, Quaid Morris, Brendan J. Frey
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    BMCBI
    2007
    163views more  BMCBI 2007»
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
    14 years 9 months ago
    Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA - a Bayesian approac
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    Background: Microarrays are widely used for the study of gene expression; however deciding on whether observed differences in expression are significant remains a challenge. Resul...
    Carmen Pin, Mark Reuter
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    PERCOM
    2007
    ACM
    190views Computer Networks» more  PERCOM 2007»
    Structural Learning of Activities from Sparse Datasets
    15 years 9 months ago
    Structural Learning of Activities from Sparse Datasets
    Download  www.comp.lancs.ac.uk
    Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
    Fahd Albinali, Nigel Davies, Adrian Friday
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    BMCBI
    2010
    154views more  BMCBI 2010»
    Candidate gene prioritization by network analysis of differential expression using machine learning approaches
    14 years 9 months ago
    Candidate gene prioritization by network analysis of differential expression using machine learning approaches
    Download  www.biomedcentral.com
    Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
    Daniela Nitsch, Joana P. Gonçalves, Fabian ...
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