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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    14 years 9 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
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    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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    BIOINFORMATICS
    2004
    99views more  BIOINFORMATICS 2004»
    EST clustering error evaluation and correction
    14 years 9 months ago
    EST clustering error evaluation and correction
    Download  bioinfo.stats.northwestern.edu
    Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
    Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
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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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    BMCBI
    2006
    170views more  BMCBI 2006»
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    14 years 9 months ago
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    Download  www.biomedcentral.com
    Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
    Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    14 years 9 months ago
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    Download  www.biomedcentral.com
    Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
    Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
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