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  "Title": "Cellular Energetics Analysis Software",
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  "Description": "Measuring cellular energetics is essential to\nunderstanding a matrix’s (e.g. cell, tissue or biofluid)\nmetabolic state. The Agilent Seahorse machine is a common\nmethod to measure real-time cellular energetics, but existing\nanalysis tools are highly manual or lack functionality. The\nCellular Energetics Analysis Software (ceas) R package fills\nthis analytical gap by providing modular and automated Seahorse\ndata analysis and visualization using the methods described by\nMookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.",
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  "Date/Publication": "2024-12-20 20:39:04 UTC",
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    "bioscope_plot",
    "energetics_lme_summary",
    "energetics_ols_summary",
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    {
      "page": "atp_plot",
      "title": "ATP Plot",
      "topics": [
        "atp_plot"
      ]
    },
    {
      "page": "bioscope_plot",
      "title": "Bioenergetic Scope Plot",
      "topics": [
        "bioscope_plot"
      ]
    },
    {
      "page": "energetics_lme_summary",
      "title": "Get mean and confidence intervals from energetics mixed-effects models",
      "topics": [
        "energetics_lme_summary"
      ]
    },
    {
      "page": "energetics_ols_summary",
      "title": "Get ordinary least squares mean and confidence intervals from energetics",
      "topics": [
        "energetics_ols_summary"
      ]
    },
    {
      "page": "get_energetics",
      "title": "Calculate ATP Production from OXPHOS and Glycolysis",
      "topics": [
        "get_energetics"
      ]
    },
    {
      "page": "get_energetics_summary",
      "title": "Calculate ATP Production Mean and Standard Deviation",
      "topics": [
        "get_energetics_summary"
      ]
    },
    {
      "page": "get_rate_summary",
      "title": "Rates summary",
      "topics": [
        "get_rate_summary"
      ]
    },
    {
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      "title": "Bioenergetic Scope Plot Shortcut",
      "topics": [
        "make_bioscope_plot"
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    },
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      "topics": [
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      ]
    },
    {
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      "title": "Organize Seahorse Data",
      "topics": [
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      ]
    },
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      "topics": [
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      ]
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