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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 10 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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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    13 years 6 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    Download  www.biomedcentral.com
    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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    VLDB
    2004
    ACM
    143views Database» more  VLDB 2004»
    GPX: Interactive Mining of Gene Expression Data
    14 years 1 days ago
    GPX: Interactive Mining of Gene Expression Data
    Download  www.cse.buffalo.edu
    Discovering co-expressed genes and coherent expression patterns in gene expression data is an important data analysis task in bioinformatics research and biomedical applications. ...
    Daxin Jiang, Jian Pei, Aidong Zhang
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    SDM
    2009
    SIAM
    251views Data Mining» more  SDM 2009»
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    14 years 3 months ago
    High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
    Download  www.siam.org
    Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
    Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
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    BMCBI
    2007
    112views more  BMCBI 2007»
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    13 years 6 months ago
    Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
    Download  www.biomedcentral.com
    Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
    Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
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