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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
    15 years 1 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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    90
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    CSB
    2003
    IEEE
    123views Bioinformatics» more  CSB 2003»
    Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
    15 years 2 months ago
    Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
    Download  www.cse.buffalo.edu
    DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
    Li Zhang, Aidong Zhang, Murali Ramanathan
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    BMCBI
    2008
    259views more  BMCBI 2008»
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    14 years 9 months ago
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    Download  www.biomedcentral.com
    Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
    Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
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    85
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    14 years 11 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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    IPPS
    2003
    IEEE
    126views Distributed And Parallel Com...» more  IPPS 2003»
    Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
    15 years 2 months ago
    Gene Clustering Using Self-Organizing Maps and Particle Swarm Optimization
    Download  www.hicomb.org
    Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarr...
    Xiang Xiao, Ernst R. Dow, Russell C. Eberhart, Zin...
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