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Package: singleCellTK
Type: Package
Title: Interactive Analysis of Single Cell RNA-Seq Data
Version: 1.1.5
Author: David Jenkins
Authors@R: c(person(given="David", family="Jenkins", email="dfj@bu.edu", role=c("aut","cre")),
person(given=c("Tyler"), family="Faits", email="tfaits@bu.edu", role=c("aut")),
person(given=c("Emma"), family="Briars", email="tfaits@bu.edu", role=c("aut")),
person(given=c("Sebastian"), family="Carrasco Pro", email="abild@coh.org", role=c("aut")),
person(given=c("W.", "Evan"), family="Johnson", email="wej@bu.edu", role=c("aut")))
Maintainer: David Jenkins <dfj@bu.edu>
Depends:
R (>= 3.5),
SummarizedExperiment,
SingleCellExperiment,
DelayedArray,
Biobase
Description: Run common single cell analysis directly through your browser
including differential expression, downsampling analysis, and clustering.
License: MIT + file LICENSE
biocViews: SingleCell, GeneExpression, DifferentialExpression, Alignment,
Clustering
LazyData: TRUE
Imports:
ape,
colourpicker,
cluster,
ComplexHeatmap,
data.table,
DESeq2,
DT,
ggplot2,
ggtree,
gridExtra,
GSVA (>= 1.26.0),
GSVAdata,
limma,
MAST,
matrixStats,
methods,
multtest,
plotly,
RColorBrewer,
Rtsne,
S4Vectors,
shiny,
shinyjs,
sva,
reshape2,
AnnotationDbi,
shinyalert,
circlize
RoxygenNote: 6.0.1
Suggests:
testthat,
Rsubread,
BiocStyle,
knitr,
bladderbatch,
rmarkdown,
org.Mm.eg.db,
org.Hs.eg.db,
scRNAseq,
xtable
VignetteBuilder: knitr
URL: https://compbiomed.github.io/sctk_docs/
BugReports: https://github.com/compbiomed/singleCellTK/issues