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  "Title": "R package for RIVER (RNA-Informed Variant Effect on Regulation)",
  "Description": "An implementation of a probabilistic modeling framework\nthat jointly analyzes personal genome and transcriptome data to\nestimate the probability that a variant has regulatory impact\nin that individual. It is based on a generative model that\nassumes that genomic annotations, such as the location of a\nvariant with respect to regulatory elements, determine the\nprior probability that variant is a functional regulatory\nvariant, which is an unobserved variable. The functional\nregulatory variant status then influences whether nearby genes\nare likely to display outlier levels of gene expression in that\nperson. See the RIVER website for more information,\ndocumentation and examples.",
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  "Date/Publication": "2026-04-28 12:45:26 UTC",
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      "title": "RIVER: R package for an implementation of an extensible predictive model for combining whole genome sequences with molecular phenotypes to identify high-impact rare variants.",
      "topics": [
        "RIVER-package",
        "RIVER"
      ]
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