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        "description": "# Estimating high dimensional ODE models from convoluted observations with an application to fMRI\nscdn is a Python-based package implementing sparse causal dynamic network analysis for convolution model, particular for Functional magnetic resonance imaging (fMRI) in our paper. It aims to provide a sparse dynamic network estimation not only for fMRI data but for other possible data that can be represented by convolution model. The introduction and explanation of parameters and ODE models can be found in [(1)]. For more details of convolution model, see [(2)]\n\n\n## Getting Started\n\nThe examples provided in the repo have been tested in Mac os and Linux environment. This package supports both Python 2.7 and Python 3.6. \n\nThese instructions will get you a copy of the project up running on your local machine for development and testing purposes. \n\nThis package is also published in pypi.  For a quick installation, try\n\n```\npip install scdn\n```\n\n### Prerequisites\n\nWhat things you need to install the software and how to install them\n\n```\nSee setup.py for details of packages requirements. \n```\n\n### Installing from GitHub\n\n\nDownload the packages by using git clone https://github.com/xuefeicao/scdn.git\n\n```\npython setup.py install\n```\n\nIf you experience problems related to installing the dependency Matplotlib on OSX, please see https://matplotlib.org/faq/osx_framework.html \n\n### Intro to our package\nAfter installing our package locally, try to import scdn in your python environment and learn about package's function. \n```\nfrom scdn.scdn_analysis import scdn_multi_sub\nhelp(scdn_multi_sub)\n```\n\n\n### Examples\n```\nThe examples subfolder includes two examples.\nThe first is a simulation generated from our data and another is from DCM.\n```\n\n## Running the tests\n\nThe test is going to be added in the future.\n\n## Built With\n\n* Python 2.7\n\n## Compatibility\n* Python 2.7\n* Python 3.6 \n\n\n## Authors\n\n* **Xuefei Cao** - *Maintainer* - (https://github.com/xuefeicao)\n* **Xi Luo** (http://bigcomplexdata.com/)\n* **Bj\u00f6rn Sandstede** (http://www.dam.brown.edu/people/sandsted/)\n\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details\n\n[(1)]:http://www.fil.ion.ucl.ac.uk/~karl/Dynamic%20causal%20modelling.pdf\n[(2)]:https://pdfs.semanticscholar.org/2127/7ee7b67970782bef59c9d657b144237bacbd.pdf\n\n\n",
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