Showing 4 open source projects for "test cases"

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  • 1
    CyberUnits

    CyberUnits

    Class library for computational cybernetics

    CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal.
    Downloads: 0 This Week
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  • 2
    PUMA Repository

    PUMA Repository

    Pascal Units for Medical Applications

    The PUMA Repository is a collection of Pascal units for medical informatics. It contains reusable source code for a wide field of health-care application development. The code includes a support engine for the European Data Format (EDF and EDF+), converting functions for units of measurement and an HL7 engine. PUMA is compatible with Lazarus and Free Pascal. Some of the units also support other Pascal implementations including Delphi, winsoft Pocket Studio and other compilers.
    Downloads: 2 This Week
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  • 3
    compare-results

    compare-results

    Program comparing Simulation Results for the SBML TestSuite

    Compare SBML Test Suite Results =============================== The [SBML Testsuite](http://sbml.org/Facilities/Online_SBML_Test_Suite) allows developers of ODE based simulators to test their implementation against a large number of test cases that test a wide aspect of the [SBML Specifications](http://sbml.org/Documents/Specifications). While implementing my simulator [RoadRunner](http://roadrunner.sf.net) I wanted to be able to compare it using a wider range of parameters: - filter for new tests - filter for tests with specific tags - mark elements that I know I did not implement
    Downloads: 0 This Week
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  • 4

    MCPerm: Monte Carlo SNP permutation

    Monte Carlo permutation method for SNP multiple test correlation

    MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). ...
    Downloads: 0 This Week
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