Showing 6 open source projects for "matlab classification learner"

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  • 1
    MLDSP-GUI
    An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
    Downloads: 1 This Week
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  • 2
    All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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    Downloads: 0 This Week
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  • 3
    MORPHE

    MORPHE

    MORphological PHenotype Extraction

    MORphological PHenotype Extraction (MORPHE) is a suite of automated image processing, visualization, and classification algorithms to facilitate the analysis of heritable and clonal red-to-green transitions that occurred during the growth of a colony.
    Downloads: 2 This Week
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  • 4

    CRUMp

    A probabilistic prediction system of protein phosphorylation sites

    CRUMp is based on a kernel-based learning method called Classification Relevance Units Machine (CRUM). Given an input set of protein sequences in FASTA format, the system outputs the position, residue type (S, T, or Y), and the estimated probability of each tested site being phosphorylatable. Latest downloadable files: - crump-0.2.0.tar.gz: CRUMp GNU Octave package - crump-0.2.0.zip: CRUMp MATLAB script - crumptestset.fasta: A testing dataset in FASTA format.
    Downloads: 0 This Week
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  • 5
    This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
    Downloads: 0 This Week
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  • 6
    Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).
    Downloads: 0 This Week
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