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    BMCBI
    2010
    167views more  BMCBI 2010»
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
    14 years 9 months ago
    Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
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    Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
    Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
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    CSB
    2003
    IEEE
    153views Bioinformatics» more  CSB 2003»
    Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks
    15 years 2 months ago
    Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks
    Download  bonsai.ims.u-tokyo.ac.jp
    We propose a statistical method for estimating a gene network based on Bayesian networks from microarray gene expression data together with biological knowledge including protein-...
    Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke...
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    BMCBI
    2006
    98views more  BMCBI 2006»
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
    14 years 9 months ago
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
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    Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
    Feng He, An-Ping Zeng
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    14 years 9 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2010
    153views more  BMCBI 2010»
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
    14 years 9 months ago
    Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
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    Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
    Eva Freyhult, Mattias Landfors, Jenny Önskog,...
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