bioc-issue-bot
commented
5 years ago Hi @quanaibn
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: scGPS
Type: Package
Title: An implementation of clustering and subpopulation relationship analysis (scGPS = single cell Global Predictions of Subpopulation)
Version: 0.99.0
Authors@R: c(
person("Quan", "Nguyen", email="quan.nguyen@uq.edu.au", role=c("aut", "cre")),
person("Michael", "Thompson",role=c("aut")),
person("Anne", "Asenbouth",role=c("aut"))
)
Description: The package implements two main algorithms to answer two key questions: a CORE (Clustering at Optimal REsolution) to find subpopulations, followed by scGPS to investigate the relationships between subpopulations. A compatible software that can run CORE is ascend R package.
Encoding: UTF-8
LazyData: true
License: GPL-3
BugReports: https://github.com/IMB-Computational-Genomics-Lab/scGPS/issues
url: https://github.com/IMB-Computational-Genomics-Lab/scGPS/
RoxygenNote: 6.1.1
Depends: R (>= 3.5), SummarizedExperiment, dynamicTreeCut, SingleCellExperiment
biocViews: SingleCell, Clustering, DataImport, Sequencing, Coverage
Imports:
glmnet (> 2.0),
caret (>= 6.0),
ggplot2 (>= 2.2.1),
fastcluster,
dplyr,
Rcpp,
RcppArmadillo,
RcppParallel,
grDevices,
graphics,
stats,
utils,
DESeq,
locfit
Suggests:
Matrix (>= 1.2),
testthat,
knitr,
cidr,
parallel,
rmarkdown,
RColorBrewer,
ReactomePA,
clusterProfiler,
cowplot,
org.Hs.eg.db,
reshape2,
xlsx,
dendextend,
networkD3,
Rtsne,
BiocParallel,
e1071,
WGCNA,
devtools,
DOSE
VignetteBuilder: knitr
LinkingTo:
Rcpp,
RcppArmadillo,
RcppParallel
SystemRequirements: GNU make
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LiNk-NY
quanaibn
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