Package index
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scopscop-package - Single-Cell Omics analysis Pipeline
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scop_logo() - scop logo
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check_python() - Check and install python packages
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check_r() - Check and install R packages
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conda_install() - Enhanced conda installation
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conda_python() - Find the path to Python associated with a conda environment
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env_exist() - Check if a conda environment exists
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env_info() - Print environment information
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env_requirements() - Python environment requirements
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exist_python_pkgs() - Check if the python package exists in the environment
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find_conda() - Find an appropriate conda binary
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install_miniconda2() - Enhanced miniconda installation
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installed_python_pkgs() - Show all the python packages in the environment
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ListEnv() - List conda environments
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PrepareEnv() - Prepare the virtual environment
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remove_python() - Remove Python packages from conda environment
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remove_r() - Check and remove R packages
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RemoveEnv() - Remove a conda environment
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integration_scop() - The integration_scop function
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standard_scop() - Standard workflow for scop
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adata_to_srt() - Convert an anndata object to a seurat object using reticulate
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CellScoring() - Cell scoring
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CheckDataType() - Check and report the type of data in
Seuratobject -
CheckDataList() - Check and preprocess a list of
Seuratobjects -
CheckDataMerge() - Check and preprocess a merged seurat object
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CycGenePrefetch() - Prefetch cell cycle genes
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DefaultReduction() - Find the default reduction name in a Seurat object
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FetchDataZero() - FetchData but with zeroes for unavailable genes
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GeneConvert() - Gene ID conversion function using biomart
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GetAssayData5() - Get expression data from
Assay5or Seurat object -
is_outlier() - Detect outliers using MAD (Median Absolute Deviation)
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RecoverCounts() - Attempt to recover raw counts from the normalized matrix
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RenameClusters() - Rename clusters for the Seurat object
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srt_append() - Append a Seurat object to another
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srt_to_adata() - Convert a Seurat object to an AnnData object
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srt_reorder() - Reorder idents by the gene expression
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AddFeaturesData() - Add features data
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AnnotateFeatures() - Annotate Features
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GetFeaturesData() - Get features data
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GetSimilarFeatures() - Find genes with expression patterns similar to the genes you've specified.
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RenameFeatures() - Rename features for the Seurat object
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db_DoubletDetection() - Run doublet-calling with DoubletDetection
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db_scDblFinder() - Run doublet-calling with scDblFinder
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db_scds() - Run doublet-calling with scds
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db_Scrublet() - Run doublet-calling with Scrublet
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RunCellQC() - Run cell-level quality control for single cell RNA-seq data.
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RunDoubletCalling() - Run doublet-calling for single cell RNA-seq data.
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RunDimReduction() - Run dimensionality reduction
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RunDM() - Run DM (diffusion map)
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RunFR() - Run Force-Directed Layout (Fruchterman-Reingold algorithm)
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RunGLMPCA() - Run GLMPCA (generalized version of principal components analysis)
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RunMDS() - Run MDS (multi-dimensional scaling)
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RunNMF() - Run NMF (non-negative matrix factorization)
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RunUMAP2() - Run UMAP (Uniform Manifold Approximation and Projection)
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RunPaCMAP() - Run PaCMAP (Pairwise Controlled Manifold Approximation)
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RunTriMap() - Run TriMap (Large-scale Dimensionality Reduction Using Triplets)
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RunPHATE() - Run PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding)
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RunLargeVis() - Run LargeVis (Dimensionality Reduction with a LargeVis-like method)
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RunKNNPredict() - Run KNN prediction
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RunCSSMap() - Single-cell reference mapping with CSS method
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RunHarmony2() - Run Harmony algorithm
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RunKNNMap() - Single-cell reference mapping with KNN method
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RunPCAMap() - Single-cell reference mapping with PCA method
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RunScmap() - Annotate single cells using scmap.
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RunSeuratMap() - Single-cell reference mapping with Seurat method
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RunSingleR() - Annotate single cells using SingleR
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RunSymphonyMap() - Single-cell reference mapping with Symphony method
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BBKNN_integrate() - The BBKNN integration function
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CSS_integrate() - The CSS integration function
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ComBat_integrate() - The ComBat integration function
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Conos_integrate() - The Conos integration function
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Harmony_integrate() - The Harmony integration function
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LIGER_integrate() - The LIGER integration function
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MNN_integrate() - The MNN integration function
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Scanorama_integrate() - The Scanorama integration function
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Seurat_integrate() - The Seurat integration function
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scVI_integrate() - The scVI integration function
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Uncorrected_integrate() - The Uncorrected integration function
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fastMNN_integrate() - The fastMNN integration function
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FindExpressedMarkers() - Find Expressed Markers
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RunDEtest() - Differential gene test
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RunGSEA() - Perform the enrichment analysis (GSEA) on the genes
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RunEnrichment() - Perform the enrichment analysis (over-representation) on the genes
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RunDynamicEnrichment() - RunDynamicEnrichment
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RunProportionTest() - Proportion Test
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RunPAGA() - Run PAGA analysis
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RunPalantir() - Run Palantir analysis
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RunSlingshot() - RunSlingshot
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RunSCVELO() - Run scVelo workflow
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RunWOT() - Run WOT analysis
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RunDynamicFeatures() - RunDynamicFeatures
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RunCellChat() - Run CellChat
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CellChatPlot() - Plot CellChat analysis results
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CellDimPlot() - Cell Dimensional Plot
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CellDimPlot3D() - 3D-Dimensional reduction plot for cell classification visualization.
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CellDensityPlot() - Cell density plot
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CellCorHeatmap() - The Cell Correlation Heatmap
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CellStatPlot() - Statistical plot of cells
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DynamicPlot() - Plot dynamic features across pseudotime
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DynamicHeatmap() - Heatmap plot for dynamic features along lineages
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EnrichmentPlot() - Enrichment Plot
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FeatureDimPlot() - Visualize feature values on a 2-dimensional reduction plot
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FeatureDimPlot3D() - 3D-Dimensional reduction plot for gene expression visualization.
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FeatureHeatmap() - Feature Heatmap
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FeatureCorPlot() - Features correlation plot
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FeatureStatPlot() - Statistical plot of features
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GraphPlot() - Graph Plot
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GroupHeatmap() - The Group Heatmap
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GSEAPlot() - GSEA Plot
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LineagePlot() - Lineage Plot
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PAGAPlot() - PAGA plot
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ProjectionPlot() - Projection Plot
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ProportionTestPlot() - Proportion Test Plot
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StatPlot() - Statistic Plot
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TACSPlot() - Transcript-averaged cell scoring (TACS)
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VelocityPlot() - Velocity Plot
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VolcanoPlot() - Volcano Plot
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compute_velocity_on_grid() - Compute velocity on grid
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cluster_within_group2() - Cluster within group
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print(<scop_logo>) - print scop logo
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CreateDataFile() - Create data file
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CreateMetaFile() - Create Meta File
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FetchH5() - Fetch data from the hdf5 file
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PrepareSCExplorer() - Prepare Seurat objects for the SCExplorer
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RunSCExplorer() - Run SCExplorer
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ListDB() - List cached databases
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PrepareDB() - Prepare the gene annotation databases
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ifnb_sub - A subsetted version of 'ifnb' datasets
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panc8_sub - A subsetted version of human 'panc8' datasets
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pancreas_sub - A subsetted version of mouse 'pancreas' datasets
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ref_scHCLref_scMCAref_scZCL - Reference datasets for cell type annotation in single-cell RNA data
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words_excluded - Excluded words in keyword enrichment analysis and extraction