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    BMCBI
    2005
    100views more  BMCBI 2005»
    Speeding disease gene discovery by sequence based candidate prioritization
    13 years 8 months ago
    Speeding disease gene discovery by sequence based candidate prioritization
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    Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
    Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
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    BMCBI
    2005
    112views more  BMCBI 2005»
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
    13 years 8 months ago
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
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    Background: Gene expression studies increasingly compare expression responses between different experimental backgrounds (genetic, physiological, or phylogenetic). By focusing on ...
    Rainer Breitling, Patrick Armengaud, Anna Amtmann
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    BMCBI
    2005
    130views more  BMCBI 2005»
    Squid - a simple bioinformatics grid
    13 years 8 months ago
    Squid - a simple bioinformatics grid
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    Background: BLAST is a widely used genetic research tool for analysis of similarity between nucleotide and protein sequences. This paper presents a software application entitled &...
    Paulo C. Carvalho, Rafael V. Glória, Antoni...
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    TIT
    2008
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    On the Construction of (Explicit) Khodak's Code and Its Analysis
    13 years 8 months ago
    On the Construction of (Explicit) Khodak's Code and Its Analysis
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    Variable-to-variable codes are very attractive yet not well understood data compression schemes. In 1972 Khodak claimed to provide upper and lower bounds for the achievable redund...
    Yann Bugeaud, Michael Drmota, Wojciech Szpankowski
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    BMCBI
    2005
    251views more  BMCBI 2005»
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
    13 years 8 months ago
    Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
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    Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
    Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
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