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    EDBTW
    2004
    Springer
    131views Software Engineering» more  EDBTW 2004»
    Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
    14 years 23 days ago
    Clustering Structured Web Sources: A Schema-Based, Model-Differentiation Approach
    Download  eagle.cs.uiuc.edu
    Abstract. The Web has been rapidly “deepened” with the prevalence of databases online. On this “deep Web,” numerous sources are structured, providing schema-rich data– Th...
    Bin He, Tao Tao, Kevin Chen-Chuan Chang
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    BMCBI
    2008
    116views more  BMCBI 2008»
    Clustering exact matches of pairwise sequence alignments by weighted linear regression
    13 years 7 months ago
    Clustering exact matches of pairwise sequence alignments by weighted linear regression
    Download  www.biomedcentral.com
    Background: At intermediate stages of genome assembly projects, when a number of contigs have been generated and their validity needs to be verified, it is desirable to align thes...
    Alvaro J. González, Li Liao
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    IMSCCS
    2006
    IEEE
    148views Theoretical Computer Science» more  IMSCCS 2006»
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    14 years 1 months ago
    Clustering of Gene Expression Data: Performance and Similarity Analysis
    Download  www.biomedcentral.com
    Background: DNA Microarray technology is an innovative methodology in experimental molecular biology, which has produced huge amounts of valuable data in the profile of gene expre...
    Longde Yin, Chun-Hsi Huang
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    DEXAW
    2008
    IEEE
    373views Database» more  DEXAW 2008»
    Topic Detection by Clustering Keywords
    14 years 1 months ago
    Topic Detection by Clustering Keywords
    Download  www.uni-weimar.de
    We consider topic detection without any prior knowledge of category structure or possible categories. Keywords are extracted and clustered based on different similarity measures u...
    Christian Wartena, Rogier Brussee
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    BIOCOMP
    2010
    145views Bioinformatics» more  BIOCOMP 2010»
    Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm
    13 years 5 months ago
    Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm
    Download  www.cs.gsu.edu
    - The activities and function of proteins can potentially be determined by protein sequence motifs. Therefore, obtaining the universally conserved and crossed protein family bounda...
    Vincent Yip, Bernard Chen, Sinan Kockara
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