| ACAT | Combining P values for all kernels (Vector-Based) | 
| CombinePValues | Summarized the multiple p-values via Cauchy combination rule | 
| ComputeGaussianL | Compute Gaussian kernel matrix | 
| ComputeGaussianPL | Calculate Gaussian Parameter L based on Eculidean Distance | 
| ComputeTestQuantRcpp_cov | Compute the testing quantities with covariates, float format | 
| ComputeTestQuantRcpp_Gaussian | Compute the testing quantities for linear mixed model, float... | 
| ComputeTestQuantRcpp_nocov | Compute the testing quantities without covariates, float... | 
| ComputeWeightsRcpp | Compute the kernel weights using psedu-counts | 
| CovariatesAI | Variance component estimation with covariates using Average... | 
| CreateSPARKObject | Create the SPARK object with filtering step | 
| ED_cpp | Compute Euclidean distance matrix by rows | 
| FilteringGenesCells | Filtering out the genes that are lowly expressed acorss cells... | 
| noCovariatesAI | Variance component estimation without covariates using... | 
| NormalizeVST | Anscombe variance stabilizing transformation: NB | 
| NormalizeVSTfast | Anscombe variance stabilizing transformation (Time Efficient) | 
| rcpp_hello_world | Simple function using Rcpp | 
| spark.ai | Fitting the count-based spatial model using average... | 
| SPARK-class | Each SPARK object has a number of slots which store... | 
| spark.fit | Fitting the count-based spatial model to estimate the... | 
| sparkg_sw | Fast Test for the Gaussian version of SPARK through... | 
| sparkg_sw_sk | Test for single kernel in the fast version of SPARK-G | 
| SPARK-package | Spatial Pattern Recognition via Kernels | 
| spark.test | Testing multiple kernel matrices | 
| spark.test_each | Testing one kernel matrix to identify spatial pattern | 
| spark.vc | Fitting the count-based spatial model to estimate the... | 
| spark.weights | Computing gene specific weights for combining multiple... | 
| sparkx | The main function that testing multiple kernels with... | 
| sparkx_pval | Calculate SPARK-X P-values | 
| sparkx.sk | Testing for single kernel with non-parametric framework | 
| sparkx.sksg | Testing for single gene with each kernel with non-parametric... | 
| SparseSysMatEigen | Do inverse of sparse sysmetric matrix | 
| sp_means_Rcpp | Calculate column-wise or row-wise mean | 
| sp_nz_count_Rcpp | Count column-wise or row-wise non-zero elements of sparse... | 
| sp_sums_Rcpp | Calculate column-wise or row-wise sum | 
| sp_vars_Rcpp | Calculate column-wise or row-wise variance | 
| SysMatEigen | Do inverse of sysmetric matrix | 
| transloc_func | Transforming the coordinate | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.