Showing 3 open source projects for "high"

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  • 1
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations.
    Downloads: 0 This Week
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  • 2
    PANDA

    PANDA

    A comprehensive and flexible quantification tool for proteomics data

    PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels...
    Downloads: 0 This Week
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  • 3
    HCS Analyzer

    HCS Analyzer

    High Content Screening Analyzer

    HCS Analyzer is an open source software dedicated to High Content Screening data processing and analysis.
    Downloads: 0 This Week
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