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  "Package": "SCBiclust",
  "Title": "Identifies Mean, Variance, and Hierarchically Clustered\nBiclusters",
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  "Authors@R": "c(person(given = c(\"Erika\", \"S.\"),\nfamily = \"Helgeson\",\nrole = c(\"aut\", \"cre\"),\nemail = \"helge@umn.edu\"),\nperson(given = \"Qian\",\nfamily = \"Liu\",\nrole = \"aut\"),\nperson(given = \"Guanhua\",\nfamily = \"Chen\",\nrole = \"aut\"),\nperson(given = c(\"Michael\", \"R.\"),\nfamily = \"Kosorok\",\nrole = \"aut\"),\nperson(given = \"Eric\",\nfamily = \"Bair\",\nrole = \"aut\"))",
  "Description": "Identifies a bicluster, a submatrix of the data such that\nthe features and observations within the submatrix differ from\nthose not contained in submatrix, using a two-step method. In\nthe first step, observations in the bicluster are identified to\nmaximize the sum of weighted between cluster feature\ndifferences. The method is described in Helgeson et al. (2020)\n<doi:10.1111/biom.13136>. 'SCBiclust' can be used to identify\nbiclusters which differ based on feature means, feature\nvariances, or more general differences.",
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  "Encoding": "UTF-8",
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  "Author": "Erika S. Helgeson [aut, cre], Qian Liu [aut], Guanhua Chen\n[aut], Michael R. Kosorok [aut], Eric Bair [aut]",
  "Maintainer": "Erika S. Helgeson <helge@umn.edu>",
  "Repository": "https://cran.r-universe.dev",
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