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  "Title": "RNA-Seq Generation/Modification for Simulation",
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  "Description": "Generates/modifies RNA-seq data for use in simulations. We\nprovide a suite of functions that will add a known amount of\nsignal to a real RNA-seq dataset. The advantage of using this\napproach over simulating under a theoretical distribution is\nthat common/annoying aspects of the data are more preserved,\ngiving a more realistic evaluation of your method. The main\nfunctions are select_counts(), thin_diff(), thin_lib(),\nthin_gene(), thin_2group(), thin_all(), and effective_cor().\nSee Gerard (2020) <doi:10.1186/s12859-020-3450-9> for details\non the implemented methods.",
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  "URL": "https://github.com/dcgerard/seqgendiff",
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  "Repository": "https://dcgerard.r-universe.dev",
  "Date/Publication": "2024-05-15 09:43:42 UTC",
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      "title": "seqgendiff: RNA-Seq Generation/Modification for Simulation",
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        "seqgendiff"
      ]
    },
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      "page": "corassign",
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    },
    {
      "page": "poisthin",
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      "title": "Binomial thinning for altering read-depth.",
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      "topics": [
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      "topics": [
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