Man pages for xzhoulab/SPARK
Spatial PAttern Recognition via Kernels

ComputeGaussianLCompute Gaussian kernel matrix
ComputeWeightsRcppCompute the kernel weights using psedu-counts
CovariatesAIVariance component estimation with covariates using Average...
CreateSPARKObjectCreate the SPARK object with filtering step
FilteringGenesCellsFiltering out the genes that are lowly expressed acorss cells...
noCovariatesAIVariance component estimation without covariates using...
rcpp_hello_worldSimple function using Rcpp
spark.aiFitting the count-based spatial model using average...
SPARK-classEach SPARK object has a number of slots which store...
spark.fitFitting the count-based spatial model to estimate the...
SPARK-packageSpatial PAttern Recognition via Kernels
spark.testTesting multiple kernel matrices
spark.test_eachTesting one kernel matrix to identify spatial pattern
spark.vcFitting the count-based spatial model to estimate the...
spark.weightsComputing gene specific weights for combining multiple...
SparseSysMatEigenDo inverse of sparse sysmetric matrix
SysMatEigenDo inverse of sysmetric matrix
xzhoulab/SPARK documentation built on Sept. 11, 2019, 5:57 p.m.