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  "Title": "Individual-Specific ceLl typE referencing Tool",
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  "Date": "2023-09-15",
  "Authors@R": "c(person(\"Hao\", \"Feng\", role = c(\"aut\", \"cre\"),email = \"hxf155@case.edu\",comment=c(ORCID=\"0000-0003-2243-9949\")),\nperson(\"Qian\", \"Li\", role = \"aut\",email = \"Qian.Li@STJUDE.ORG\"),\nperson(\"Guanqun\", \"Meng\", role = \"aut\",email = \"gxm324@case.edu\"))",
  "Description": "ISLET is a method to conduct signal deconvolution for\ngeneral -omics data. It can estimate the individual-specific\nand cell-type-specific reference panels, when there are\nmultiple samples observed from each subject. It takes the input\nof the observed mixture data (feature by sample matrix), and\nthe cell type mixture proportions (sample by cell type matrix),\nand the sample-to-subject information. It can solve for the\nreference panel on the individual-basis and conduct test to\nidentify cell-type-specific differential expression (csDE)\ngenes. It also improves estimated cell type mixture proportions\nby integrating personalized reference panels.",
  "License": "GPL-2",
  "Collate": "utils.R dataprep.R dataprep_slope.R islet.est.R islet.solve.R\nislet.test.R AllClasses.R show-methods.R imply_prep.R imply.R",
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  "Repository": "https://bioc.r-universe.dev",
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