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  "Title": "GWAS Incorporating Networks",
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  "Description": "martini deals with the low power inherent to GWAS studies\nby using prior knowledge represented as a network. SNPs are the\nvertices of the network, and the edges represent biological\nrelationships between them (genomic adjacency, belonging to the\nsame gene, physical interaction between protein products). The\nnetwork is scanned using SConES, which looks for groups of SNPs\nmaximally associated with the phenotype, that form a close\nsubnetwork.",
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  "Repository": "https://bioc.r-universe.dev",
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      "title": "Get genomic sequence network",
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      "topics": [
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      "topics": [
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      "title": "Find connected explanatory features",
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      "title": "Find connected explanatory SNPs.",
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      "title": "Find connected explanatory SNPs",
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