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  "Title": "Single-cell RNA-seq batch effects correction methods interface",
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  "Authors@R": "c(\nperson(\"Elena\", \"Zuin\", email = \"elena.zuin.3@phd.unipd.it\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0006-3060-4835\",\naffiliation = \"Department of Biology, University of Padova\")),\nperson(\"Chiara\", \"Romualdi\", role = \"ctb\",\ncomment = c(affiliation = \"Department of Biology, University of Padova\")),\nperson(\"Davide\", \"Risso\", role = \"ctb\",\ncomment = c(affiliation = \"Department of Statistical Sciences, University of Padova\")),\nperson(\"Gabriele\", \"Sales\", role = \"ctb\",\ncomment = c(affiliation = \"Department of Biology, University of Padova\")))",
  "Description": "This package implements a variety of methods for batch\ncorrection in single-cell RNA sequencing (scRNA-seq) data. It\nincorporates quantitative metrics (e.g. Wasserstein distance,\nAdjusted Rand Index) to evaluate their performance.\nFurthermore, the package assists users in identifying and\napplying the optimal method for specific datasets.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "biocViews": "BatchEffect, SingleCell, Sequencing",
  "BugReports": "https://github.com/zuinelena3/BatChef/issues",
  "URL": "https://github.com/zuinelena3/BatChef",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-05-18 16:26:59 UTC",
  "RemoteUrl": "https://github.com/bioc/BatChef",
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  "Author": "Elena Zuin [aut, cre] (ORCID: <https://orcid.org/0009-0006-3060-4835>,\naffiliation: Department of Biology, University of Padova),\nChiara Romualdi [ctb] (affiliation: Department of Biology, University\nof Padova),\nDavide Risso [ctb] (affiliation: Department of Statistical Sciences,\nUniversity of Padova),\nGabriele Sales [ctb] (affiliation: Department of Biology, University of\nPadova)",
  "Maintainer": "Elena Zuin <elena.zuin.3@phd.unipd.it>",
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    "FastMNNParams",
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      "title": "Adjusted Rand Index (ARI)",
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      "title": "Average Silhouette Width (ASW)",
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      "title": "Batch effects strength",
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      "title": "batchCorrect",
      "topics": [
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        "batchCorrect,CombatParams-method",
        "batchCorrect,FastMNNParams-method",
        "batchCorrect,HarmonyParams-method",
        "batchCorrect,LigerParams-method",
        "batchCorrect,LimmaParams-method",
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        "batchCorrect,SeuratV3Params-method",
        "batchCorrect,SeuratV5Params-method"
      ]
    },
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      "title": "Capture parameters of the correction methods",
      "topics": [
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      ]
    },
    {
      "page": "clustInput",
      "title": "Convert into a SingleCellExperiment object for clustering",
      "topics": [
        "clustInput",
        "clustInput,AnnDataR6,AnnDataR6-method",
        "clustInput,AnnDataR6-method",
        "clustInput,Seurat,Seurat-method",
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        "clustInput,SingleCellExperiment,SingleCellExperiment-method",
        "clustInput,SingleCellExperiment-method"
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      "title": "ComBat method",
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    },
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      "title": "Local Inverse Simpson Index (LISI)",
      "topics": [
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    },
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      "title": "Compute the Local Inverse Simpson Index (LISI)",
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      "title": "Extract data characteristics",
      "topics": [
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      "title": "Convert fastMNN output",
      "topics": [
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        "fastMNNPost,AnnDataR6,AnnDataR6-method",
        "fastMNNPost,AnnDataR6-method",
        "fastMNNPost,Seurat,Seurat-method",
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    },
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      "title": "Convert Harmony output",
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        "harmonyPost,AnnDataR6,AnnDataR6-method",
        "harmonyPost,AnnDataR6-method",
        "harmonyPost,Seurat,Seurat-method",
        "harmonyPost,Seurat-method",
        "harmonyPost,SingleCellExperiment,SingleCellExperiment-method",
        "harmonyPost,SingleCellExperiment-method"
      ]
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      "topics": [
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      "title": "Kullback-Leibler (KL) divergence) between two Gamma distributions",
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      "title": "Leiden clustering",
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      "title": "Library size parameters",
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        "ligerInput,AnnDataR6-method",
        "ligerInput,Seurat,Seurat-method",
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        "ligerPost,AnnDataR6-method",
        "ligerPost,Seurat,Seurat-method",
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      "title": "BatChefParams methods",
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        "CombatParams",
        "CombatParams-class",
        "FastMNNParams",
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        "HarmonyParams",
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        "LigerParams",
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        "ScanoramaParams-class",
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        "ScMerge2Params-class",
        "SCVIParams-class",
        "SeuratV3Params",
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      "title": "limma method",
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      "title": "Convert into a SingleCellExperiment object for linear model based methods",
      "topics": [
        "linearInput",
        "linearInput,AnnDataR6,AnnDataR6-method",
        "linearInput,AnnDataR6-method",
        "linearInput,Seurat,Seurat-method",
        "linearInput,Seurat-method",
        "linearInput,SingleCellExperiment,SingleCellExperiment-method",
        "linearInput,SingleCellExperiment-method"
      ]
    },
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      "title": "Convert the output of linear models",
      "topics": [
        "linearPost",
        "linearPost,AnnDataR6,AnnDataR6-method",
        "linearPost,AnnDataR6-method",
        "linearPost,Seurat,Seurat-method",
        "linearPost,Seurat-method",
        "linearPost,SingleCellExperiment,SingleCellExperiment-method",
        "linearPost,SingleCellExperiment-method"
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    },
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      "title": "Median of Local Inverse Simposon Index (LISI)",
      "topics": [
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      ]
    },
    {
      "page": "log_transf",
      "title": "A shifted log transformation",
      "topics": [
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    },
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      "page": "merge_params",
      "title": "Parameters merging",
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        "merge_params"
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    },
    {
      "page": "metrics",
      "title": "Performance evaluation metrics.",
      "topics": [
        "metrics"
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    {
      "page": "normalized",
      "title": "Normalization",
      "topics": [
        "normalized"
      ]
    },
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      "page": "normalized_mutual_info",
      "title": "Normalized Mutual Information (NMI)",
      "topics": [
        "normalized_mutual_info"
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    },
    {
      "page": "outlier_params",
      "title": "Highly expressed genes probability",
      "topics": [
        "outlier_params"
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      "title": "Gamma parameters estimation of batch factors",
      "topics": [
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    },
    {
      "page": "prediction_plot",
      "title": "Prediction plot",
      "topics": [
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      ]
    },
    {
      "page": "sceInput",
      "title": "Convert into a SingleCellExperiment object",
      "topics": [
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        "sceInput,AnnDataR6,AnnDataR6-method",
        "sceInput,AnnDataR6-method",
        "sceInput,Seurat,Seurat-method",
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