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All functions

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