Showing 2 open source projects for "address"

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    ExSTraCS

    ExSTraCS

    Extended Supervised Tracking and Classifying System

    ...Michigan-style LCS algorithms constitute a unique class of algorithms that distribute learned patterns over a collaborative population of of individually interpretable IF:THEN rules, allowing them to flexibly and effectively describe complex and diverse problem spaces. ExSTraCS was primarily developed to address problems in epidemiological data mining to identify complex patterns relating predictive attributes in noisy datasets to disease phenotypes of interest. ExSTraCS combines a number of recent advancements into a single algorithmic platform. It can flexibly handle (1) discrete or continuous attributes, (2) missing data, (3) balanced or imbalanced datasets, and (4) binary or many classes. ...
    Downloads: 1 This Week
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    QUASR

    Cross-platform NGS processing and analysis pipeline in Python

    ...Both are written to be as lightweight as possible so they can run with minimal memory-requirements on a desktop or laptop as well as on a compute cluster. If you have any problems with QUASR, please do contact me at the email address provided in the README.
    Downloads: 0 This Week
    Last Update:
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