bioc-issue-bot
commented
3 years ago Hi @stemangiola
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: sccomp
Title: Robust Outlier-aware Estimation of Composition and Heterogeneity for Single-cell Data.
Version: 0.99.1
Authors@R: c(person("Stefano", "Mangiola", email = "mangiolastefano@gmail.com",
role = c("aut", "cre"))
)
Description: A robust and outlier-aware method for testing differential tissue composition from single-cell data. 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: 7.1.1
Biarch: true
Depends:
R (>= 4.1.0),
rstan (>= 2.18.1)
Imports:
methods,
Rcpp (>= 0.12.0),
RcppParallel (>= 5.0.1),
rstantools (>= 2.1.1),
SeuratObject,
SingleCellExperiment,
parallel,
dplyr,
tidyr,
purrr,
magrittr,
rlang,
tibble,
boot,
lifecycle,
stats
Suggests:
BiocStyle,
testthat (>= 3.0.0),
markdown,
ggplot2,
knitr,
furrr
LinkingTo:
BH (>= 1.66.0),
Rcpp (>= 0.12.0),
RcppEigen (>= 0.3.3.3.0),
RcppParallel (>= 5.0.1),
rstan (>= 2.18.1),
StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
VignetteBuilder:
knitr
RdMacros:
lifecycle
biocViews:
ImmunoOncology,
Normalization,
Sequencing,
RNASeq,
Software,
GeneExpression,
Transcriptomics,
SingleCell,
Clustering
LazyDataCompression: xz
Config/testthat/edition: 3
stemangiola
lshep
vjcitn
Kayla-Morrell
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