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    BMCBI
    2010
    125views more  BMCBI 2010»
    NeatMap - non-clustering heat map alternatives in R
    14 years 9 months ago
    NeatMap - non-clustering heat map alternatives in R
    Download  www.biomedcentral.com
    Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
    Satwik Rajaram, Yoshi Oono
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    SIGMOD
    2010
    ACM
    277views Database» more  SIGMOD 2010»
    A comparison of join algorithms for log processing in MaPreduce
    15 years 2 months ago
    A comparison of join algorithms for log processing in MaPreduce
    Download  pages.cs.wisc.edu
    The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
    Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
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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
    14 years 9 months ago
    Vector analysis as a fast and easy method to compare gene expression responses between different experimental backgrounds
    Download  www.biomedcentral.com
    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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    PE
    2007
    Springer
    112views Optimization» more  PE 2007»
    Multicast inference of temporal loss characteristics
    14 years 9 months ago
    Multicast inference of temporal loss characteristics
    Download  www.cubinlab.ee.unimelb.edu.au
    Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
    Vijay Arya, Nick G. Duffield, Darryl Veitch
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    IWPC
    2005
    IEEE
    111views Software Engineering» more  IWPC 2005»
    System Evolution Tracking through Execution Trace Analysis
    15 years 3 months ago
    System Evolution Tracking through Execution Trace Analysis
    Download  www.infosys.tuwien.ac.at
    Software evolution analysis is concerned with analysis of artifacts produced during a software systems life-cycle. Execution traces produced from instrumented code reflect a syst...
    Michael Fischer, Johann Oberleitner, Harald Gall, ...
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