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  "Title": "Adaptive Signature Selection and InteGratioN (ASSIGN)",
  "Version": "1.49.0",
  "Date": "2014-10-30",
  "Author": "Ying Shen, Andrea H. Bild, W. Evan Johnson, and Mumtehena\nRahman",
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  "Description": "ASSIGN is a computational tool to evaluate the pathway\nderegulation/activation status in individual patient samples.\nASSIGN employs a flexible Bayesian factor analysis approach\nthat adapts predetermined pathway signatures derived either\nfrom knowledge-based literature or from perturbation\nexperiments to the cell-/tissue-specific pathway signatures.\nThe deregulation/activation level of each context-specific\npathway is quantified to a score, which represents the extent\nto which a patient sample encompasses the pathway\nderegulation/activation signature.",
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        "Introduction",
        "How to use the ASSIGN package",
        "Example Data",
        "Run r BiocStyle::Biocpkg(\"ASSIGN\") all-in-one using assign.wrapper",
        "Example 1: Training data is available, but a gene list of pathway signature genes is not available:",
        "Example 2: Training data is available, and a gene list of pathway signature genes is available:",
        "Example 3: Training data is not available, but a gene list of pathway signature genes is available:",
        "Run r BiocStyle::Biocpkg(\"ASSIGN\") step-by-step",
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