Showing 4 open source projects for "roc"

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    mullpy

    Multilabel-learning library built on python

    Mullpy is a machine-learning library that mainly aim to solve multi-label problems. It is classifier independent, has many ensemble capabilities (diversity methods like bagging, random subspaces, etc.) and automated results presentation (Excel, images as ROC or class-separated info, etc.). It is fully configurable. At the moment supports Neural Networks and classifiers defined in files. It is working on python3.3.
    Downloads: 0 This Week
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  • 2

    ARDEN

    Specificity Control for Read Alignments Using an Artificial Reference

    We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality...
    Downloads: 1 This Week
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  • 3
    GeneNetWeaver
    GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
    Downloads: 1 This Week
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  • 4
    ROC.KIT is an application for health sciences that automatically calculates ROC curves (receiver operating charateristic plots) from continuous medical data like laboratory results.
    Downloads: 0 This Week
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