Showing 6 open source projects for "python package"

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  • 1
    OmicSelector

    OmicSelector

    Feature selection and deep learning modeling for omic biomarker study

    OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant...
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  • 2
    Microscopy Image Processing Package
    XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es
    Downloads: 0 This Week
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  • 3
    qips is a software package for analyzing ChIP-seq ("Chromatin ImmunoPrecipitation on sequencing") data. It finds enriched regions of arbitrary lengths and is therefore especially suited for analyzing ChIP-seq of histone marks or polymerase.
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  • 4
    iGluco imports and displays readings from the Lifescan Onetouch Ultra 2 Meter. The project aims to provide useful functionality for analysing glucose levels over time, in a simple, user-friendly package.
    Downloads: 1 This Week
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  • 5
    QuickDicom is an easy to use dicom medical imaging package for Mac OSX, providing QuickLook, Spotlight, Quartz Composer, Window/Level and a dicom file analyzer. Also included is the iiDicom Framework for image/dictionary usage in Objective C and Python.
    Downloads: 2 This Week
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  • 6
    Computer Controlled Optical Microscopy is a package to enable camera equipped microscopes to generate multi-modal time-lapse image sequences of 3D volumes. This is achieved by periodically changing optical settings, xyz positions and acquiring images.
    Downloads: 0 This Week
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