Package index
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BuildLandmarkObject() - Build a landmark object with correlation analysis and UMAP embedding
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FindmmNN() - Find Multi-Modal Nearest Neighbors
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GenerateSampleObject() - Generate a sample-level count matrix based on landmark assay and its weighted.nn object
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NormalizeChiSquared() - Apply Chi-squared normalization to a Seurat object
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PlotLandmarkObject() - Visualize landmark-trajectory correlations with UMAP plots
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PrepareSampleObject() - Perform preprocessing procedures for a Seurat object to prepare for the sample-level analysis
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QuickCorTest() - Perform cor.test between each gene and a response variable given a Seurat object
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RunAndProjectUMAP() - Generate a UMAP for a sketched assay and then project it to the full data.
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RunDiffusionMap() - Run Diffusion Map
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RunPLS() - Run Partial Least Squares (PLS) on Seurat Objects
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SampleLevelDimPlot() - Visualize the landmark-trajectory relevance and the sample-level cell density
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SketchDataByGroup() - Sketch Data by Group
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TrajDETest() - Trajectory Differential Expression Test
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cellanova_calc_BE() - Perform CellAnova Batch correction