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    CSB
    2005
    IEEE
    189views Bioinformatics» more  CSB 2005»
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    13 years 10 months ago
    Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
    Download  conferences.computer.org
    We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
    Xutao Deng, Huimin Geng, Hesham H. Ali
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    BMCBI
    2007
    148views more  BMCBI 2007»
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    13 years 5 months ago
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    Download  www.biomedcentral.com
    Background: The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis a...
    Elisabetta Sbisà, Domenico Catalano, Giorgi...
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    ISMB
    2007
    131views Computational Biology» more  ISMB 2007»
    Annotating gene function by combining expression data with a modular gene network
    13 years 7 months ago
    Annotating gene function by combining expression data with a modular gene network
    Download  www.bic.kyoto-u.ac.jp
    Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka
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    BMCBI
    2006
    186views more  BMCBI 2006»
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    13 years 5 months ago
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    Download  www.biomedcentral.com
    Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
    Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
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    RECOMB
    2003
    Springer
    181views Computational Biology» more  RECOMB 2003»
    An integrated probabilistic model for functional prediction of proteins
    14 years 5 months ago
    An integrated probabilistic model for functional prediction of proteins
    Download  courses.cs.vt.edu
    We develop an integrated probabilistic model to combine protein physical interactions, genetic interactions, highly correlated gene expression network, protein complex data, and d...
    Minghua Deng, Ting Chen, Fengzhu Sun
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