A B C D E F G H I J L M N P R S T U V W
| Seurat-package | Seurat: Tools for Single Cell Genomics |
| AddAzimuthResults | Add Azimuth Results |
| AddAzimuthScores | Add Azimuth Scores |
| AddModuleScore | Calculate module scores for feature expression programs in single cells |
| AggregateExpression | Aggregated feature expression by identity class |
| AnchorSet | The AnchorSet Class |
| AnchorSet-class | The AnchorSet Class |
| AnnotateAnchors | Add info to anchor matrix |
| AnnotateAnchors.default | Add info to anchor matrix |
| AnnotateAnchors.IntegrationAnchorSet | Add info to anchor matrix |
| AnnotateAnchors.TransferAnchorSet | Add info to anchor matrix |
| as.CellDataSet | Convert objects to CellDataSet objects |
| as.CellDataSet.Seurat | Convert objects to CellDataSet objects |
| as.data.frame.Matrix | Cast to Sparse |
| as.Seurat.CellDataSet | Convert objects to 'Seurat' objects |
| as.Seurat.SingleCellExperiment | Convert objects to 'Seurat' objects |
| as.SingleCellExperiment | Convert objects to SingleCellExperiment objects |
| as.SingleCellExperiment.Seurat | Convert objects to SingleCellExperiment objects |
| as.sparse.H5Group | Cast to Sparse |
| Assay-class | The Assay Class |
| AugmentPlot | Augments ggplot2-based plot with a PNG image. |
| AutoPointSize | Automagically calculate a point size for ggplot2-based scatter plots |
| AverageExpression | Averaged feature expression by identity class |
| BarcodeInflectionsPlot | Plot the Barcode Distribution and Calculated Inflection Points |
| BGTextColor | Determine text color based on background color |
| BlackAndWhite | Create a custom color palette |
| BlueAndRed | Create a custom color palette |
| BoldTitle | Seurat Themes |
| BuildClusterTree | Phylogenetic Analysis of Identity Classes |
| CalcPerturbSig | Calculate a perturbation Signature |
| CalculateBarcodeInflections | Calculate the Barcode Distribution Inflection |
| CaseMatch | Match the case of character vectors |
| cc.genes | Cell cycle genes |
| cc.genes.updated.2019 | Cell cycle genes: 2019 update |
| CellCycleScoring | Score cell cycle phases |
| CellPlot | Cell-cell scatter plot |
| Cells.SCTModel | Get Cell Names |
| Cells.SlideSeq | Get Cell Names |
| Cells.STARmap | Get Cell Names |
| Cells.VisiumV1 | Get Cell Names |
| CellsByImage | Get a vector of cell names associated with an image (or set of images) |
| CellScatter | Cell-cell scatter plot |
| CellSelector | Cell Selector |
| CenterTitle | Seurat Themes |
| CollapseEmbeddingOutliers | Move outliers towards center on dimension reduction plot |
| CollapseSpeciesExpressionMatrix | Slim down a multi-species expression matrix, when only one species is primarily of interenst. |
| ColorDimSplit | Color dimensional reduction plot by tree split |
| CombinePlots | Combine ggplot2-based plots into a single plot |
| contrast-theory | Get the intensity and/or luminance of a color |
| CreateSCTAssayObject | Create a SCT Assay object |
| CustomDistance | Run a custom distance function on an input data matrix |
| CustomPalette | Create a custom color palette |
| DarkTheme | Seurat Themes |
| DEenrichRPlot | DE and EnrichR pathway visualization barplot |
| DietSeurat | Slim down a Seurat object |
| DimHeatmap | Dimensional reduction heatmap |
| DimPlot | Dimensional reduction plot |
| DimReduc-class | The DimReduc Class |
| DiscretePalette | Discrete colour palettes from pals |
| DoHeatmap | Feature expression heatmap |
| DotPlot | Dot plot visualization |
| ElbowPlot | Quickly Pick Relevant Dimensions |
| ExpMean | Calculate the mean of logged values |
| ExpSD | Calculate the standard deviation of logged values |
| ExpVar | Calculate the variance of logged values |
| FastRowScale | Scale and/or center matrix rowwise |
| FeatureHeatmap | Visualize 'features' on a dimensional reduction plot |
| FeatureLocator | Cell Selector |
| FeaturePlot | Visualize 'features' on a dimensional reduction plot |
| FeatureScatter | Scatter plot of single cell data |
| FilterSlideSeq | Filter stray beads from Slide-seq puck |
| FindAllMarkers | Gene expression markers for all identity classes |
| FindAllMarkersNode | Gene expression markers for all identity classes |
| FindClusters | Cluster Determination |
| FindClusters.default | Cluster Determination |
| FindClusters.Seurat | Cluster Determination |
| FindConservedMarkers | Finds markers that are conserved between the groups |
| FindIntegrationAnchors | Find integration anchors |
| FindMarkers | Gene expression markers of identity classes |
| FindMarkers.Assay | Gene expression markers of identity classes |
| FindMarkers.default | Gene expression markers of identity classes |
| FindMarkers.DimReduc | Gene expression markers of identity classes |
| FindMarkers.SCTAssay | Gene expression markers of identity classes |
| FindMarkers.Seurat | Gene expression markers of identity classes |
| FindMarkersNode | Gene expression markers of identity classes |
| FindMultiModalNeighbors | Construct weighted nearest neighbor graph |
| FindNeighbors | (Shared) Nearest-neighbor graph construction |
| FindNeighbors.Assay | (Shared) Nearest-neighbor graph construction |
| FindNeighbors.default | (Shared) Nearest-neighbor graph construction |
| FindNeighbors.dist | (Shared) Nearest-neighbor graph construction |
| FindNeighbors.Seurat | (Shared) Nearest-neighbor graph construction |
| FindSpatiallyVariableFeatures | Find spatially variable features |
| FindSpatiallyVariableFeatures.Assay | Find spatially variable features |
| FindSpatiallyVariableFeatures.default | Find spatially variable features |
| FindSpatiallyVariableFeatures.Seurat | Find spatially variable features |
| FindSubCluster | Find subclusters under one cluster |
| FindTransferAnchors | Find transfer anchors |
| FindVariableFeatures | Find variable features |
| FindVariableFeatures.Assay | Find variable features |
| FindVariableFeatures.default | Find variable features |
| FindVariableFeatures.SCTAssay | Find variable features |
| FindVariableFeatures.Seurat | Find variable features |
| FindVariableGenes | Find variable features |
| FoldChange | Fold Change |
| FoldChange.Assay | Fold Change |
| FoldChange.default | Fold Change |
| FoldChange.DimReduc | Fold Change |
| FoldChange.Seurat | Fold Change |
| FontSize | Seurat Themes |
| GenePlot | Scatter plot of single cell data |
| GeneSymbolThesarus | Get updated synonyms for gene symbols |
| GetAssay | Get an Assay object from a given Seurat object. |
| GetAssay.Seurat | Get an Assay object from a given Seurat object. |
| GetImage.SlideSeq | Get Image Data |
| GetImage.STARmap | Get Image Data |
| GetImage.VisiumV1 | Get Image Data |
| GetIntegrationData | Get integration data |
| GetResidual | Calculate pearson residuals of features not in the scale.data |
| GetTissueCoordinates.SlideSeq | Get Tissue Coordinates |
| GetTissueCoordinates.STARmap | Get Tissue Coordinates |
| GetTissueCoordinates.VisiumV1 | Get Tissue Coordinates |
| GetTransferPredictions | Get the predicted identity |
| Graph-class | The Graph Class |
| GroupCorrelation | Compute the correlation of features broken down by groups with another covariate |
| GroupCorrelationPlot | Boxplot of correlation of a variable (e.g. number of UMIs) with expression data |
| HoverLocator | Hover Locator |
| HTODemux | Demultiplex samples based on data from cell 'hashing' |
| HTOHeatmap | Hashtag oligo heatmap |
| HVFInfo.SCTAssay | Get Variable Feature Information |
| ICAPlot | Dimensional reduction plot |
| IFeaturePlot | Visualize features in dimensional reduction space interactively |
| ImageDimPlot | Spatial Cluster Plots |
| ImageFeaturePlot | Spatial Feature Plots |
| IntegrateData | Integrate data |
| IntegrateEmbeddings | Integrate low dimensional embeddings |
| IntegrateEmbeddings.IntegrationAnchorSet | Integrate low dimensional embeddings |
| IntegrateEmbeddings.TransferAnchorSet | Integrate low dimensional embeddings |
| IntegrationAnchorSet | The IntegrationAnchorSet Class |
| IntegrationAnchorSet-class | The IntegrationAnchorSet Class |
| IntegrationData | The IntegrationData Class |
| IntegrationData-class | The IntegrationData Class |
| Intensity | Get the intensity and/or luminance of a color |
| ISpatialDimPlot | Visualize clusters spatially and interactively |
| ISpatialFeaturePlot | Visualize features spatially and interactively |
| JackStraw | Determine statistical significance of PCA scores. |
| JackStrawData-class | The JackStrawData Class |
| JackStrawPlot | JackStraw Plot |
| L2CCA | L2-Normalize CCA |
| L2Dim | L2-normalization |
| LabelClusters | Label clusters on a ggplot2-based scatter plot |
| Labeler | Add text labels to a ggplot2 plot |
| LabelPoints | Add text labels to a ggplot2 plot |
| levels.SCTAssay | The SCTModel Class |
| levels<-.SCTAssay | The SCTModel Class |
| LinkedDimPlot | Visualize spatial and clustering (dimensional reduction) data in a linked, interactive framework |
| LinkedFeaturePlot | Visualize spatial and clustering (dimensional reduction) data in a linked, interactive framework |
| LinkedPlot | Visualize spatial and clustering (dimensional reduction) data in a linked, interactive framework |
| LinkedPlots | Visualize spatial and clustering (dimensional reduction) data in a linked, interactive framework |
| Load10X_Spatial | Load a 10x Genomics Visium Spatial Experiment into a 'Seurat' object |
| LoadAkoya | Read and Load Akoya CODEX data |
| LoadAnnoyIndex | Load the Annoy index file |
| LoadHuBMAPCODEX | Read Data From Vitessce |
| LoadNanostring | Read and Load Nanostring SMI data |
| LoadSTARmap | Load STARmap data |
| LoadVizgen | Read and Load MERFISH Input from Vizgen |
| LoadXenium | Read and Load 10x Genomics Xenium in-situ data |
| LocalStruct | Calculate the local structure preservation metric |
| LogNormalize | Normalize raw data |
| LogVMR | Calculate the variance to mean ratio of logged values |
| Luminance | Get the intensity and/or luminance of a color |
| MappingScore | Metric for evaluating mapping success |
| MappingScore.AnchorSet | Metric for evaluating mapping success |
| MappingScore.default | Metric for evaluating mapping success |
| MapQuery | Map query cells to a reference |
| MeanVarPlot | View variable features |
| merge.SCTAssay | Merge SCTAssay objects |
| MetaFeature | Aggregate expression of multiple features into a single feature |
| MinMax | Apply a ceiling and floor to all values in a matrix |
| MixingMetric | Calculates a mixing metric |
| MixscapeHeatmap | Differential expression heatmap for mixscape |
| MixscapeLDA | Linear discriminant analysis on pooled CRISPR screen data. |
| ModalityWeights | The ModalityWeights Class |
| ModalityWeights-class | The ModalityWeights Class |
| MULTIseqDemux | Demultiplex samples based on classification method from MULTI-seq (McGinnis et al., bioRxiv 2018) |
| Neighbor-class | The Neighbor Class |
| NNPlot | Highlight Neighbors in DimPlot |
| NoAxes | Seurat Themes |
| NoGrid | Seurat Themes |
| NoLegend | Seurat Themes |
| NormalizeData | Normalize Data |
| NormalizeData.Assay | Normalize Data |
| NormalizeData.default | Normalize Data |
| NormalizeData.Seurat | Normalize Data |
| PCAPlot | Dimensional reduction plot |
| PCASigGenes | Significant genes from a PCA |
| PCHeatmap | Dimensional reduction heatmap |
| PercentAbove | Calculate the percentage of a vector above some threshold |
| PercentageFeatureSet | Calculate the percentage of all counts that belong to a given set of features |
| PlotClusterTree | Plot clusters as a tree |
| PlotPerturbScore | Function to plot perturbation score distributions. |
| PolyDimPlot | Polygon DimPlot |
| PolyFeaturePlot | Polygon FeaturePlot |
| PredictAssay | Predict value from nearest neighbors |
| PrepLDA | Function to prepare data for Linear Discriminant Analysis. |
| PrepSCTFindMarkers | Prepare object to run differential expression on SCT assay with multiple models |
| PrepSCTIntegration | Prepare an object list normalized with sctransform for integration. |
| ProjectDim | Project Dimensional reduction onto full dataset |
| ProjectUMAP | Project query into UMAP coordinates of a reference |
| ProjectUMAP.default | Project query into UMAP coordinates of a reference |
| ProjectUMAP.DimReduc | Project query into UMAP coordinates of a reference |
| ProjectUMAP.Seurat | Project query into UMAP coordinates of a reference |
| PurpleAndYellow | Create a custom color palette |
| Radius.SlideSeq | Get Spot Radius |
| Radius.STARmap | Get Spot Radius |
| Radius.VisiumV1 | Get Spot Radius |
| Read10X | Load in data from 10X |
| Read10X_h5 | Read 10X hdf5 file |
| Read10X_Image | Load a 10X Genomics Visium Image |
| ReadAkoya | Read and Load Akoya CODEX data |
| ReadMtx | Load in data from remote or local mtx files |
| ReadNanostring | Read and Load Nanostring SMI data |
| ReadParseBio | Read output from Parse Biosciences |
| ReadSlideSeq | Load Slide-seq spatial data |
| ReadSTARsolo | Read output from STARsolo |
| ReadVitessce | Read Data From Vitessce |
| ReadVizgen | Read and Load MERFISH Input from Vizgen |
| ReadXenium | Read and Load 10x Genomics Xenium in-situ data |
| RegroupIdents | Regroup idents based on meta.data info |
| RelativeCounts | Normalize raw data to fractions |
| RenameCells.SCTAssay | Rename Cells in an Object |
| RenameCells.SlideSeq | Rename Cells in an Object |
| RenameCells.STARmap | Rename Cells in an Object |
| RenameCells.VisiumV1 | Rename Cells in an Object |
| RestoreLegend | Seurat Themes |
| RidgePlot | Single cell ridge plot |
| RotatedAxis | Seurat Themes |
| RunCCA | Perform Canonical Correlation Analysis |
| RunCCA.default | Perform Canonical Correlation Analysis |
| RunCCA.Seurat | Perform Canonical Correlation Analysis |
| RunICA | Run Independent Component Analysis on gene expression |
| RunICA.Assay | Run Independent Component Analysis on gene expression |
| RunICA.default | Run Independent Component Analysis on gene expression |
| RunICA.Seurat | Run Independent Component Analysis on gene expression |
| RunLDA | Run Linear Discriminant Analysis |
| RunLDA.Assay | Run Linear Discriminant Analysis |
| RunLDA.default | Run Linear Discriminant Analysis |
| RunLDA.Seurat | Run Linear Discriminant Analysis |
| RunMarkVario | Run the mark variogram computation on a given position matrix and expression matrix. |
| RunMixscape | Run Mixscape |
| RunMoransI | Compute Moran's I value. |
| RunPCA | Run Principal Component Analysis |
| RunPCA.Assay | Run Principal Component Analysis |
| RunPCA.default | Run Principal Component Analysis |
| RunPCA.Seurat | Run Principal Component Analysis |
| RunSLSI | Run Supervised Latent Semantic Indexing |
| RunSLSI.Assay | Run Supervised Latent Semantic Indexing |
| RunSLSI.default | Run Supervised Latent Semantic Indexing |
| RunSLSI.Seurat | Run Supervised Latent Semantic Indexing |
| RunSPCA | Run Supervised Principal Component Analysis |
| RunSPCA.Assay | Run Supervised Principal Component Analysis |
| RunSPCA.default | Run Supervised Principal Component Analysis |
| RunSPCA.Seurat | Run Supervised Principal Component Analysis |
| RunTSNE | Run t-distributed Stochastic Neighbor Embedding |
| RunTSNE.DimReduc | Run t-distributed Stochastic Neighbor Embedding |
| RunTSNE.dist | Run t-distributed Stochastic Neighbor Embedding |
| RunTSNE.matrix | Run t-distributed Stochastic Neighbor Embedding |
| RunTSNE.Seurat | Run t-distributed Stochastic Neighbor Embedding |
| RunUMAP | Run UMAP |
| RunUMAP.default | Run UMAP |
| RunUMAP.Graph | Run UMAP |
| RunUMAP.Neighbor | Run UMAP |
| RunUMAP.Seurat | Run UMAP |
| SampleUMI | Sample UMI |
| SaveAnnoyIndex | Save the Annoy index |
| ScaleData | Scale and center the data. |
| ScaleData.Assay | Scale and center the data. |
| ScaleData.default | Scale and center the data. |
| ScaleData.Seurat | Scale and center the data. |
| ScaleFactors | Get image scale factors |
| scalefactors | Get image scale factors |
| ScaleFactors.VisiumV1 | Get image scale factors |
| ScoreJackStraw | Compute Jackstraw scores significance. |
| ScoreJackStraw.DimReduc | Compute Jackstraw scores significance. |
| ScoreJackStraw.JackStrawData | Compute Jackstraw scores significance. |
| ScoreJackStraw.Seurat | Compute Jackstraw scores significance. |
| SCTAssay | The SCTModel Class |
| SCTAssay-class | The SCTModel Class |
| SCTModel | The SCTModel Class |
| SCTransform | Use regularized negative binomial regression to normalize UMI count data |
| SCTResults | Get SCT results from an Assay |
| SCTResults.SCTAssay | Get SCT results from an Assay |
| SCTResults.SCTModel | Get SCT results from an Assay |
| SCTResults.Seurat | Get SCT results from an Assay |
| SCTResults<- | Get SCT results from an Assay |
| SCTResults<-.SCTAssay | Get SCT results from an Assay |
| SCTResults<-.SCTModel | Get SCT results from an Assay |
| SelectIntegrationFeatures | Select integration features |
| SetIntegrationData | Set integration data |
| SetQuantile | Find the Quantile of Data |
| Seurat | Seurat: Tools for Single Cell Genomics |
| Seurat-class | The Seurat Class |
| SeuratAxes | Seurat Themes |
| SeuratCommand-class | The SeuratCommand Class |
| SeuratTheme | Seurat Themes |
| SlideSeq | The SlideSeq class |
| SlideSeq-class | The SlideSeq class |
| SpatialDimPlot | Visualize spatial clustering and expression data. |
| SpatialFeaturePlot | Visualize spatial clustering and expression data. |
| SpatialImage-class | The SpatialImage Class |
| SpatialPlot | Visualize spatial clustering and expression data. |
| SpatialTheme | Seurat Themes |
| SplitDotPlotGG | Dot plot visualization |
| SplitObject | Splits object into a list of subsetted objects. |
| STARmap | The STARmap class |
| STARmap-class | The STARmap class |
| subset.AnchorSet | Subset an AnchorSet object |
| SubsetByBarcodeInflections | Subset a Seurat Object based on the Barcode Distribution Inflection Points |
| TopCells | Find cells with highest scores for a given dimensional reduction technique |
| TopFeatures | Find features with highest scores for a given dimensional reduction technique |
| TopNeighbors | Get nearest neighbors for given cell |
| TransferAnchorSet | The TransferAnchorSet Class |
| TransferAnchorSet-class | The TransferAnchorSet Class |
| TransferData | Transfer data |
| TSNEPlot | Dimensional reduction plot |
| UMAPPlot | Dimensional reduction plot |
| UpdateSCTAssays | Update pre-V4 Assays generated with SCTransform in the Seurat to the new SCTAssay class |
| UpdateSymbolList | Get updated synonyms for gene symbols |
| VariableFeaturePlot | View variable features |
| VariableGenePlot | View variable features |
| VisiumV1 | The VisiumV1 class |
| VisiumV1-class | The VisiumV1 class |
| VizDimLoadings | Visualize Dimensional Reduction genes |
| VlnPlot | Single cell violin plot |
| WhiteBackground | Seurat Themes |