Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2022) <doi:10.1101/2022.06.26.497672>.
Imports: GiRaF, MASS, Matrix, mclust, methods, purrr, utils, Seurat,
cowplot, scater, pbapply, patchwork, ggthemes, dplyr, ggplot2,
Packaged: 2022-06-29 15:04:14 UTC; Liuxianju

Packaged: 2022-07-11 12:43:56 UTC; Liuxianju

cowplot, patchwork, scater, pbapply, ggthemes, dplyr, ggplot2,
Packaged: 2022-10-18 12:52:47 UTC; Liuxianju

Title: Interactive Document for Preprocessing the Dataset
Description: An interactive document for preprocessing the dataset using  'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at  <https://analyticmodels.shinyapps.io/PREPShiny/>.
Packaged: 2019-04-19 19:51:01 UTC; KARTIKEYA

Title: Parametric Simplex Method for Sparse Learning
Description: Implements a unified framework of parametric simplex method for a variety of sparse learning problems (e.g., Dantzig selector (for linear regression), sparse quantile regression, sparse support vector machines, and compressive sensing) combined with efficient hyper-parameter selection strategies. The core algorithm is implemented in C++ with Eigen3 support for portable high performance linear algebra. For more details about parametric simplex method, see Haotian Pang (2017) <https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.
Packaged: 2019-09-26 17:15:23 UTC; lizichong

Packaged: 2020-01-12 10:34:04 UTC; lizichong

Packaged: 2020-01-22 09:22:31 UTC; lizichong

Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Authors@R: c(person("Eloy", "Romero", role=c("aut", "cre"), email="eloy@cs.wm.edu"),
person("College of William & Mary", role="cph"))
R interface to PRIMME, a C library for computing a few
eigenvalues and their corresponding eigenvectors of a real symmetric or complex
Hermitian matrix.  It can also compute singular values and vectors of a square
or rectangular matrix.  It can find largest, smallest, or interior
singular/eigenvalues and can use preconditioning to accelerate convergence.
SystemRequirements: A POSIX system. Currently Linux and OS X are known