Showing 6 open source projects for "parametric"

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  • 1
    ...If you have any questions, please contact Shengmin Zhou(email: 2495077522@qq.com or 220180304@seu.edu.cn). If you want to download this project and use it, please cite the paper: Zhou, S., Li, B. & Nie, H. Parametric fitting and morphometric analysis of 3D open curves based on discrete cosine transform. Zoomorphology (2021). https://doi.org/10.1007/s00435-021-00520-w
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  • 2
    MORPHEUS for Fiji

    MORPHEUS for Fiji

    A tool for unbiased and reproducible cell morphometry in Fiji/ImageJ2

    MORPHEUS is a Fiji/ImageJ2 plugin for the automated evaluation of cell morphometry from cell cultures images acquired by fluorescence microscopy. Specifically, MORPHEUS works with sampling distributions to learn—in an unsupervised manner and by a non-parametric approach—how to recognize the cells suitable for subsequent analysis. Afterwards, the algorithm performs the evaluation of the most relevant cell-shape descriptors over the full set of detected cells. Optionally, also the extraction of nucleus features and a double-scale analysis of orientation can be performed. The whole algorithm is implemented as a one-click procedure, thus minimizing the user intervention and the ensuing biases and errors of human origin. ...
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  • 3

    Ezys

    Ezys 3D medical image registration program

    ...On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. Mutual Information and Normalized Mutual Information cost functions make Ezys a perfect tool for an inter-modal image registration.
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  • 4
    AWclust is easy to use non-parametric population structure analysis software written for R with a GUI interface. Just point and click and you will be on your way to discovering the important cluster information in your SNP data sets.
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  • 5

    MCPerm: Monte Carlo SNP permutation

    Monte Carlo permutation method for SNP multiple test correlation

    MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). ...
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  • 6

    NeuroBees

    Multi-agent algorithm

    Software tool (NEURON, Python, C++) based on the multi-agent Bee algorithm and aiming at multi-parametric optimization. 2 versions : - Link with NEURON (need download and install NEURON and NEURON-python) - Autonomous, with two types of neurones (Izhikevich and hodgkin huxley)
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