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  "Title": "Rank Selection for Non-Negative Matrix Factorization",
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  "Description": "Given the non-negative data and its distribution, the\npackage estimates the rank parameter for Non-negative Matrix\nFactorization. The method is based on hypothesis testing, using\na deconvolved bootstrap distribution to assess the significance\nlevel accurately despite the large amount of optimization\nerror. The distribution of the non-negative data can be either\nNormal distributed or Poisson distributed.",
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