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        "description": "# NeuroCombat-sklearn\n[![License: MIT](https://img.shields.io/github/license/Warvito/neurocombat_sklearn)](https://opensource.org/licenses/MIT) \n[![Version](https://img.shields.io/pypi/v/neurocombat-sklearn)](https://pypi.org/project/neurocombat-sklearn/)\n[![PythonVersion](https://img.shields.io/pypi/pyversions/neurocombat-sklearn)]()\n\nImplementation of Combat harmonization method in scikit-learn compatible format.\n\n\nThe Combat harmonization/normalization method uses an parametric empirical Bayes framework to robustly adjust data for site/batch effects. \nThe scikit-learn compatible format was used to facilitates the use of this harmonization method in machine learning projects. \n\n\nThis repository is developed by [Walter Hugo Lopez Pinaya](https://scholar.google.com/citations?user=jjT5-HUAAAAJ) at King's College London and community contributors.\n\n## Installation\n\n### Requirements\n- Python (>= 3.5)\n- [Scikit-Learn](https://scikit-learn.org/) (>= 0.21.0)\n\n\n### User installation\n\nIf you already have a working installation of numpy and scipy,\nthe easiest way to install neurocombat-sklearn is using ``pip``   :\n\n    pip install neurocombat-sklearn\n\n\n## Citation\nIf you find this code useful for your research, please cite:\n\n    @article{fortin2018harmonization,\n      title={Harmonization of cortical thickness measurements across scanners and sites},\n      author={Fortin, Jean-Philippe and Cullen, Nicholas and Sheline, Yvette I and Taylor, Warren D and Aselcioglu, Irem and Cook, Philip A and Adams, Phil and Cooper, Crystal and Fava, Maurizio and McGrath, Patrick J and others},\n      journal={Neuroimage},\n      volume={167},\n      pages={104--120},\n      year={2018},\n      publisher={Elsevier}\n    }\n\n    @article{johnson2007adjusting,\n      title={Adjusting batch effects in microarray expression data using empirical Bayes methods},\n      author={Johnson, W Evan and Li, Cheng and Rabinovic, Ariel},\n      journal={Biostatistics},\n      volume={8},\n      number={1},\n      pages={118--127},\n      year={2007},\n      publisher={Oxford University Press}\n    }\n\n### Disclaimer\n\nBased on:\n - https://github.com/ncullen93/neuroCombat\n - https://github.com/nih-fmrif/nielson_abcd_2018\n - https://github.com/Jfortin1/ComBatHarmonization\n\n\n\n",
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