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    BIOINFORMATICS
    2007
    195views more  BIOINFORMATICS 2007»
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    14 years 10 months ago
    Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
    Download  www.stat.ucla.edu
    Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
    Shinsheng Yuan, Ker-Chau Li
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    BIBM
    2008
    IEEE
    217views Bioinformatics» more  BIBM 2008»
    Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
    15 years 4 months ago
    Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
    Download  math.bu.edu
    The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
    Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
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    TCBB
    2008
    107views more  TCBB 2008»
    Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
    14 years 9 months ago
    Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering
    Download  www.cs.utexas.edu
    It is a consensus in microarray analysis that identifying potential local patterns, characterized by coherent groups of genes and conditions, may shed light on the discovery of pre...
    Hyuk Cho, Inderjit S. Dhillon
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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
    14 years 10 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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    BMCBI
    2005
    190views more  BMCBI 2005»
    An Entropy-based gene selection method for cancer classification using microarray data
    14 years 9 months ago
    An Entropy-based gene selection method for cancer classification using microarray data
    Download  www.biomedcentral.com
    Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
    Xiaoxing Liu, Arun Krishnan, Adrian Mondry
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