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DESCRIPTION
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DESCRIPTION
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Package: sccomp
Title: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data
Version: 1.7.15
Authors@R: c(person("Stefano", "Mangiola", email = "[email protected]",
role = c("aut", "cre"))
)
Description: A robust and outlier-aware method for testing differential tissue composition from single-cell data. This model can infer changes in tissue composition and heterogeneity, and can produce realistic data simulations based on any existing dataset. This model can also transfer knowledge from a large set of integrated datasets to increase accuracy further.
License: GPL-3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Biarch: true
Depends:
R (>= 4.2.0)
Imports:
methods,
Rcpp (>= 0.12.0),
RcppParallel (>= 5.0.1),
rstantools (>= 2.1.1),
rstan (>= 2.26.0),
SeuratObject,
SingleCellExperiment,
parallel,
dplyr,
tidyr,
purrr,
magrittr,
rlang,
tibble,
boot,
lifecycle,
stats,
tidyselect,
utils,
ggplot2,
ggrepel,
patchwork,
forcats,
readr,
scales,
stringr,
glue
Suggests:
BiocStyle,
testthat (>= 3.0.0),
markdown,
knitr,
loo,
tidyseurat,
tidySingleCellExperiment,
prettydoc
Enhances:
furrr,
extraDistr
LinkingTo:
BH (>= 1.66.0),
Rcpp (>= 0.12.0),
RcppEigen (>= 0.3.3.3.0),
RcppParallel (>= 5.0.1),
rstan (>= 2.26.0),
StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
VignetteBuilder:
knitr
RdMacros:
lifecycle
biocViews:
ImmunoOncology,
Normalization,
Sequencing,
RNASeq,
Software,
GeneExpression,
Transcriptomics,
SingleCell,
Clustering
LazyDataCompression: xz
Config/testthat/edition: 3
URL: https://github.com/stemangiola/sccomp
BugReports: https://github.com/stemangiola/sccomp/issues
Additional_repositories:
https://mc-stan.org/r-packages/