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DESCRIPTION
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DESCRIPTION
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Package: SCAVENGE
Title: Identifying genetic trait/phenotype relevant cell type/state at single cell resolution
Version: 1.0.2
Date: 2020-01-01
URL: https://github.com/sankaranlab/SCAVENGE
Authors@R:
person(given = "Fulong",
family = "Yu",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0002-6100-8300"))
Description: SCAVENGE (Single Cell Analysis of Variant Enrichment through
Network propagation of GEnomic data) optimizes the inference of functional
and genetic associations to specific cells at single-cell resolution.
License: GPL (>= 2)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.2
Depends:
R (>= 4.0.0)
Imports:
stats,
RANN,
igraph,
parallel,
Matrix,
irlba,
SummarizedExperiment,
gchromVAR
Suggests:
utils,
dplyr,
stringr,
BSgenome.Hsapiens.UCSC.hg19,
ggplot2,
data.table,
knitr,
rmarkdown,
methods,
BiocParallel,
BiocStyle,
chromVAR,
GenomicRanges,
S4Vectors,
BuenColors,
rworkflows
Remotes:
github::caleblareau/gchromVAR,
github::caleblareau/BuenColors,
github::neurogenomics/rworkflows
biocViews: Variant, Function, CellBasedAssays,
Network, NetworkEnrichment,NetworkInference,
Trajectory, CellType, Epigenetics, ATACSeq, SingleCell, Normalization
VignetteBuilder: knitr
LazyData: true