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  "Title": "A unified framework of realistic in silico data generation and\nstatistical model inference for single-cell and spatial omics",
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  "Authors@R": "c(person(\"Dongyuan\", \"Song\", , \"dongyuansong@ucla.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1114-1215\")),\nperson(\"Qingyang\", \"Wang\", , \"qw802@g.ucla.edu\",  role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-1051-609X\")),\nperson(\"Chenxin\", \"Jiang\", , \"cflorajiang@g.ucla.edu\",  role = c(\"aut\"),\ncomment = c(ORCID = \"0009-0005-7369-4116\")))",
  "Description": "We present a statistical simulator, scDesign3, to generate\nrealistic single-cell and spatial omics data, including various\ncell states, experimental designs, and feature modalities, by\nlearning interpretable parameters from real data. Using a\nunified probabilistic model for single-cell and spatial omics\ndata, scDesign3 infers biologically meaningful parameters;\nassesses the goodness-of-fit of inferred cell clusters,\ntrajectories, and spatial locations; and generates in silico\nnegative and positive controls for benchmarking computational\ntools.",
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