CellCycle.Hs            the Cell Cycle gene set
LISAResult              LISAResult
LISAsce                 convert LISA result to SVPExperiment.
SVP-accessors           Some accessor functions to get the internal
                        slots of SVPExperiment
SVPExperiment           The SVPExperiment class
as_tbl_df               convert the square matrix to long tidy table
cal_lisa_f1             calculate the F1 value based on LISA result in
                        the specified category.
cluster.assign          clusting and assign the label for each
                        feature(specify the gene sets).
data_CancerSEA          The Gene List of Cancer Single-cell State Atlas
                        (CancerSEA)
data_SenMayo            A gene set identifies senescent cells and
                        predicts senescence-associated pathways across
                        tissues
data_hpda_spe_cell_dec
                        an example of result of runSGSA by extracting
                        with gsvaExp
data_sceSubPbmc         a subset data of pbmck3 from SeuratData
extract_weight_adj      extract the cell adjacent matrix from spatial
                        space or reduction space
fast_cor                Calculation of correlations and associated
                        p-values
fscoreDfs               features score matrix extract method
gsvaExps                Gene Set Variation Analysis Experiment methods
mob_marker_genes        the marker genes of mouse olfactory bulb
mob_sce                 the single cell gene profiler of a mouse
                        olfactory bulb
plot_heatmap_globalbv   plot_heatmap_globalbv
pred.cell.signature     predict the cell signature according the gene
                        sets or pathway activity score.
runCORR                 runCORR
runDetectMarker         Detecting the specific cell features with
                        nearest distance of cells in MCA space
runDetectSVG            Detecting the spatially or single cell variable
                        features with Moran's I or Geary's C
runENCODE               One hot encode for the specified cell category.
runGLOBALBV             Global Bivariate analysis for spatial
                        autocorrelation
runKldSVG               Detecting the spatially or single cell variable
                        features with Kullback–Leibler divergence of 2D
                        weighted kernel density estimation
runLISA                 Local indicators of spatial association
                        analysis
runLOCALBV              Local Bivariate analysis with spatial
                        autocorrelation
runMCA                  Run Multiple Correspondence Analysis
runSGSA                 Calculate the activity of gene sets in spatial
                        or single-cell data with restart walk with
                        restart and hyper test weighted.
runWKDE                 Calculating the 2D Weighted Kernel Density
                        Estimation
svDfs                   spatial or single cell variable features matrix
                        extract method
