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  "Title": "Predict synthetic lethal partners of tumour mutations",
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  "Authors@R": "person(given = \"Chunxuan\", family = \"Shao\", role = c(\"aut\", \"cre\"), email = \"chunxuan@outlook.com\")",
  "Description": "An integrated pipeline to predict the potential synthetic\nlethality partners (SLPs) of tumour mutations, based on gene\nexpression, mutation profiling and cell line genetic screens\ndata. It has builtd-in support for data from cBioPortal. The\nprimary SLPs correlating with muations in WT and compensating\nfor the loss of function of mutations are predicted by random\nforest based methods (GENIE3) and Rank Products, respectively.\nGenetic screens are employed to identfy consensus SLPs leads to\nreduced cell viability when perturbed.",
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  "Author": "Chunxuan Shao [aut, cre]",
  "Maintainer": "Chunxuan Shao <chunxuan@outlook.com>",
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      "title": "Identify SLPs via compensation",
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      "title": "Identify SLPs via correlation",
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      "title": "Estimate the importance threshold for GENIE3",
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      "topics": [
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      "title": "Merge SLPs",
      "topics": [
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      "title": "Process tumour genomic data",
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