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  "Title": "Conditional Mutual Information Estimation for Multi-Omics Data",
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  "Description": "The biases introduced in association measures,\nparticularly mutual information, are influenced by factors such\nas tumor purity, mutation burden, and hypermethylation. This\npackage provides the estimation of conditional mutual\ninformation (CMI) and its statistical significance with a focus\non its application to multi-omics data. Utilizing B-spline\nfunctions (inspired by Daub et al. (2004)\n<doi:10.1186/1471-2105-5-118>), the package offers tools to\nestimate the association between heterogeneous multi- omics\ndata, while removing the effects of confounding factors. This\nhelps to unravel complex biological interactions. In addition,\nit includes methods to evaluate the statistical significance of\nthese associations, providing a robust framework for\nmulti-omics data integration and analysis. This package is\nideal for researchers in computational biology, bioinformatics,\nand systems biology seeking a comprehensive tool for\nunderstanding interdependencies in omics data.",
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    "CMIBiCondimat2vec",
    "CMIBiCondimat2vecPermu",
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    "getCMIBiCondi",
    "getEntropy",
    "getEntropyBi",
    "getEntropyQuadri",
    "getEntropyTri",
    "getMI",
    "getMIBi",
    "getPValue",
    "MImat2mat",
    "MImat2matAll",
    "MImat2matPermu",
    "MImat2vec",
    "MImat2vecPermu"
  ],
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      "page": "CMIBiCondimat2mat",
      "title": "Normalized Conditional Mutual Information Between Two Matrices Given Two Conditions",
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        "CMIBiCondimat2mat"
      ]
    },
    {
      "page": "CMIBiCondimat2matAll",
      "title": "Normalized Conditional Mutual Information Between Each Row of Two Matrices Given Two Conditions",
      "topics": [
        "CMIBiCondimat2matAll"
      ]
    },
    {
      "page": "CMIBiCondimat2matPermu",
      "title": "Permuted Conditional Mutual Information Between Two Matrices Given Two Conditions",
      "topics": [
        "CMIBiCondimat2matPermu"
      ]
    },
    {
      "page": "CMIBiCondimat2vec",
      "title": "Normalized Conditional Mutual Information Between Matrix and Vector Given Two Conditions",
      "topics": [
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      ]
    },
    {
      "page": "CMIBiCondimat2vecPermu",
      "title": "Permuted Normalized Conditional Mutual Information Between Matrix and Vector Given Two Conditions",
      "topics": [
        "CMIBiCondimat2vecPermu"
      ]
    },
    {
      "page": "CMImat2mat",
      "title": "Normalized Conditional Mutual Information Between Two Matrices",
      "topics": [
        "CMImat2mat"
      ]
    },
    {
      "page": "CMImat2matAll",
      "title": "Normalized Conditional Mutual Information Between Each Row of Two Matrices",
      "topics": [
        "CMImat2matAll"
      ]
    },
    {
      "page": "CMImat2matPermu",
      "title": "Permuted Conditional Mutual Information Between Two Matrices",
      "topics": [
        "CMImat2matPermu"
      ]
    },
    {
      "page": "CMImat2vec",
      "title": "Normalized Conditional Mutual Information Between Matrix and Vector",
      "topics": [
        "CMImat2vec"
      ]
    },
    {
      "page": "CMImat2vecPermu",
      "title": "Permuted Normalized Conditional Mutual Information Between Matrix and Vector",
      "topics": [
        "CMImat2vecPermu"
      ]
    },
    {
      "page": "CORmat2vecPermu",
      "title": "Permuted Correlation Between Matrix and Vector",
      "topics": [
        "CORmat2vecPermu"
      ]
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    {
      "page": "getCMI",
      "title": "Calculate Conditional Mutual Information",
      "topics": [
        "getCMI"
      ]
    },
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      "title": "Calculate Bivariate Conditional Mutual Information",
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