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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 8 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
    2010
    144views more  BMCBI 2010»
    Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
    13 years 4 months ago
    Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model
    Download  www.biomedcentral.com
    Background: Large-scale genomic studies often identify large gene lists, for example, the genes sharing the same expression patterns. The interpretation of these gene lists is gen...
    Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee...
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    BMCBI
    2005
    113views more  BMCBI 2005»
    Normal uniform mixture differential gene expression detection for cDNA microarrays
    13 years 4 months ago
    Normal uniform mixture differential gene expression detection for cDNA microarrays
    Download  www.biomedcentral.com
    Background: One of the primary tasks in analysing gene expression data is finding genes that are differentially expressed in different samples. Multiple testing issues due to the ...
    Nema Dean, Adrian E. Raftery
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 6 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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    ICDM
    2008
    IEEE
    193views Data Mining» more  ICDM 2008»
    Multiplicative Mixture Models for Overlapping Clustering
    13 years 11 months ago
    Multiplicative Mixture Models for Overlapping Clustering
    Download  www-users.cs.umn.edu
    The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
    Qiang Fu, Arindam Banerjee
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