DESCRIPTION

Package: SPARK
Type: Package
Title: Spatial Pattern Recognition via Kernels
Version: 1.1.1
Date: 2021-02-18
Author: Shiquan Sun, Jiaqiang Zhu, and Xiang Zhou
Maintainer: Jiaqiang Zhu <jiaqiang@umich.edu>
Description: SPARK is an efficient tool for identifying spatial expression patterns. SPARK directly models raw count data generated from various spatial resolved transcriptomic techniques. With a new efficient penalized quasi-likelihood based algorithm, SPARK is scalable to data sets with tens of thousands of genes measured on thousands of samples. Build upon a non-parametric framework, SPARK-X is scalable to large-scale data sets with tens of thousands of genes measured on hundred thousands of samples.
License: GPL-3
Depends: R (>= 3.4.0), methods
Imports: Rcpp (>= 1.0.5),foreach,doParallel,parallel,Matrix,CompQuadForm,matlab,pracma
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1