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  "Package": "tradeSeq",
  "Type": "Package",
  "Title": "trajectory-based differential expression analysis for sequencing\ndata",
  "Date": "2019-03-17",
  "Version": "1.13.13",
  "Authors@R": "c(person(\"Zaoqu\", \"Liu\", role = c(\"aut\", \"cre\"),\nemail = \"liuzaoqu@163.com\",\ncomment = c(ORCID = \"0000-0002-0452-742X\")),\nperson(\"Koen\", \"Van den Berge\", role = c(\"aut\"),\nemail = \"koen.vandenberge@ugent.be\"),\nperson(\"Hector\", \"Roux de Bezieux\", role = c(\"aut\"),\nemail = \"hector.rouxdebezieux@berkeley.edu\",\ncomment = c(ORCID = \"0000-0002-1489-8339\")),\nperson(\"Kelly\",\"Street\", role = c(\"aut\",\"ctb\")),\nperson(\"Lieven\",\"Clement\", role=c(\"aut\",\"ctb\")),\nperson(\"Sandrine\",\"Dudoit\", role=\"ctb\"))",
  "Description": "tradeSeq provides a flexible method for fitting regression\nmodels that can be used to find genes that are differentially\nexpressed along one or multiple lineages in a trajectory. Based\non the fitted models, it uses a variety of tests suited to\nanswer different questions of interest, e.g. the discovery of\ngenes for which expression is associated with pseudotime, or\nwhich are differentially expressed (in a specific region) along\nthe trajectory. It fits a negative binomial generalized\nadditive model (GAM) for each gene, and performs inference on\nthe parameters of the GAM.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://zaoqu-liu.github.io/tradeSeq,\nhttps://github.com/Zaoqu-Liu/tradeSeq",
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      "page": "associationTest",
      "title": "Perform statistical test to check whether gene expression is constant across pseudotime within a lineage",
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        "associationTest,SingleCellExperiment-method"
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      "topics": [
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        "clusterExpressionPatterns,list-method",
        "clusterExpressionPatterns,SingleCellExperiment-method"
      ]
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        "diffEndTest,SingleCellExperiment-method"
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        "fitGAM,matrix-method",
        "fitGAM,SingleCellExperiment-method"
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        "plotSmoothers,gam-method",
        "plotSmoothers,SingleCellExperiment-method"
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      "author": "Zaoqu Liu, Kelly Street, Koen Van den Berge and Hector Roux de Bézieux",
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      "created": "2026-01-23 18:39:23",
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      "title": "Using Monocle as input to tradeSeq",
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      "headings": [
        "Introduction",
        "Load data",
        "Monocle3",
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        "Extracting the pseudotimes and cell weights for tradeSeq",
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      "author": "Zaoqu Liu, Koen Van den Berge and Hector Roux de Bézieux",
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      "headings": [
        "Introduction",
        "Installation",
        "Load data",
        "Choosing K: a deeper dive into the output from evaluateK",
        "Fit additive models",
        "Adding covariates to the model",
        "Parallel computing",
        "Fitting only a subset of genes",
        "Zero inflation",
        "Convergence issues on small or zero-inflated datasets",
        "tradeSeq list output",
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        "References"
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      "title": "Quick Start Guide",
      "author": "Zaoqu Liu",
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      "headings": [
        "Introduction",
        "Installation",
        "Quick Workflow",
        "Step 1: Load Required Packages",
        "Step 2: Load Example Data",
        "Step 3: Fit GAM Models",
        "Step 4: Run Differential Expression Tests",
        "Association Test",
        "Differential End Points Test",
        "Pattern Test",
        "Step 5: Visualize Results",
        "Plot Gene Expression Smoothers",
        "Plot Gene Count",
        "Summary",
        "Session Info"
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      "filename": "statistical_framework.html",
      "title": "Statistical Framework and Algorithm",
      "author": "Zaoqu Liu",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "The Statistical Model",
        "Negative Binomial GAM",
        "Cubic Regression Splines",
        "Knot Selection",
        "Statistical Tests",
        "Association Test",
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