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    » Clustering Genes Using Heterogeneous Data Sources
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    PSB
    2004
    91views Applied Computing» more  PSB 2004»
    Motif Discovery in Heterogeneous Sequence Data
    14 years 8 days ago
    Motif Discovery in Heterogeneous Sequence Data
    Download  www.cs.washington.edu
    This paper introduces the first integrated algorithm designed to discover novel motifs in heterogeneous sequence data, which is comprised of coregulated genes from a single genome...
    Amol Prakash, Mathieu Blanchette, Saurabh Sinha, M...
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 11 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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    BMCBI
    2006
    170views more  BMCBI 2006»
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    13 years 11 months ago
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    Download  www.biomedcentral.com
    Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
    Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
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    CBMS
    2005
    IEEE
    116views Medical Imaging» more  CBMS 2005»
    An Online Analysis and Information Fusion Platform for Heterogeneous Biomedical Informatics Data
    14 years 4 months ago
    An Online Analysis and Information Fusion Platform for Heterogeneous Biomedical Informatics Data
    Download  www.cse.psu.edu
    Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment histor...
    Srivatsava Ranjit Ganta, Jyotsna Kasturi, John Gil...
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    BMCBI
    2008
    202views more  BMCBI 2008»
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    13 years 11 months ago
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    Download  www.biomedcentral.com
    Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
    Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
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