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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    13 years 11 months ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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    CSB
    2002
    IEEE
    169views Bioinformatics» more  CSB 2002»
    Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
    14 years 21 days ago
    Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
    Download  bonsai.ims.u-tokyo.ac.jp
    We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
    Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
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    BMCBI
    2008
    146views more  BMCBI 2008»
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    13 years 7 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Download  www.biomedcentral.com
    Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
    Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
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    BMCBI
    2007
    156views more  BMCBI 2007»
    Large-scale clustering of CAGE tag expression data
    13 years 7 months ago
    Large-scale clustering of CAGE tag expression data
    Download  www.biomedcentral.com
    Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
    Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
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    ICANN
    2009
    Springer
    145views Neural Networks» more  ICANN 2009»
    Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
    13 years 5 months ago
    Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
    Download  www.mendeley.com
    Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
    André C. A. Nascimento, Ricardo Bastos Cava...
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