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Package: SigBridgeR
Title: Integrative Toolkit for Linking Phenotypes to Cell Subpopulations via scRNA-seq and Bulk Data
Version: 3.8.1
Authors@R:
c(
person("Yuxi", "Yang", email = "15364051195@163.com", role = c("cre", "aut"), comment = c(ORCID = "0009-0006-1329-1224")),
person("Shixiang", "Wang", email = "shixiang1994wang@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-9855-7357")),
person("Zeyu", "Yan", email = "3191647388@qq.com", role = "ctb")
)
Description: Identifies phenotype-associated cell subpopulations by integrating phenotypic data (e.g., survival, drug sensitivity), bulk gene expression, and single-cell RNA-seq (scRNA-seq) profiles. It employs multiple algorithms to reliably connect cellular features with clinical or functional phenotypes, offering a unified pipeline for multi-modal analysis that uncovers biologically and clinically relevant cell states in heterogeneous datasets.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://wanglabcsu.github.io/sigbridger
BugReports: https://github.com/WangLabCSU/SigBridgeR/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports:
chk,
cli,
data.table,
dplyr,
IDConverter,
Matrix,
purrr,
rlang (>= 1.0.0),
scAB (>= 1.0.4),
Scissor (>= 2.0.1),
Seurat (>= 5.0.0),
SeuratObject (>= 5.0.0),
SigBridgeRUtils (>= 0.2.5)
Depends:
R (>= 4.1.0)
Remotes:
github::Exceret/ALRA,
github::Exceret/DEGAS,
github::Exceret/LPSGL,
github::Exceret/PIPET,
github::Exceret/rTiRank,
github::Exceret/rSIDISH,
github::Exceret/scAB,
github::Exceret/SCIPAC,
github::Exceret/Scissor,
github::Exceret/scPAS,
github::Exceret/ScPP,
github::ShixiangWang/IDConverter,
github::yonicd/tidycheckUsage
Suggests:
ALRA,
anndata,
anndataR,
BiocManager,
carrier,
celldex,
cheapr,
codetools,
curl,
DEGAS,
edgeR,
furrr,
future,
future.mirai,
ggforce,
ggplot2,
ggupset,
ggVennDiagram,
glue,
here,
jsonlite,
KernSmooth,
knitr,
lifecycle,
lintr,
LPSGL,
matrixStats,
matrixTests,
methods,
mLLMCelltype,
org.Hs.eg.db,
pak,
patchwork,
PIPET,
plyr,
preprocessCore,
processx,
qs2,
randomcoloR,
RColorBrewer,
remotes,
reticulate,
rmarkdown,
rSIDISH (>= 0.0.2),
rstudioapi,
rTiRank,
scCustomize,
SCIPAC,
scPAS,
ScPP,
SingleR,
sparseMatrixStats,
testthat (>= 3.0.0),
tibble,
tictoc,
tidycheckUsage,
tidyr,
WGCNA,
zeallot
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/testthat/parallel: true