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  "Title": "Tools for Adaptive Immune Receptor Sequence-Based Machine and\nDeep Learning",
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  "Description": "A set of tools to for machine and deep learning in R from\namino acid and nucleotide sequences focusing on adaptive immune\nreceptors. The package includes pre-processing of sequences,\nunifying gene nomenclature usage, encoding sequences, and\ncombining models. This package will serve as the basis of\nfuture immune receptor sequence functions/packages/models\ncompatible with the scRepertoire ecosystem.",
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      "title": "Machine and Deep Learning Models with immApex",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Loading Libraries",
        "Acquiring and Preparing Repertoire Data",
        "getIMGT",
        "formatGenes",
        "inferCDR",
        "Generating and Augmenting Sequence Sets",
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        "Example 3: Identifying Sequence Communities with Network Analysis",
        "Conclusion",
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      "created": "2024-08-05 17:39:54",
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