bioc-issue-bot
commented
3 months ago Hi @keyes-timothy
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:
Type: Package
Package: tidytof
Title: Analyze High-dimensional Cytometry Data Using Tidy Data Principles
Version: 0.99.0
Authors@R:
c(person(given = "Timothy",
family = "Keyes",
role = c("cre"),
email = "tkeyes@stanford.edu",
comment = c(ORCID = "0000-0003-0423-9679")),
person(given = "Kara",
family = "Davis",
role = c("rth", "own"),
email = "kldavis@stanford.edu"),
person(given = "Garry",
family = "Nolan",
role = c("rth", "own"),
email = "gnolan@stanford.edu"))
Description: This package implements an interactive, scientific analysis
pipeline for high-dimensional cytometry data built using tidy data principles.
It is specifically designed to play well with both the tidyverse and
Bioconductor software ecosystems, with functionality for reading/writing
data files, data cleaning, preprocessing, clustering,
visualization, modeling, and other quality-of-life functions. tidytof
implements a "grammar" of high-dimensional cytometry data analysis.
License: MIT + file LICENSE
Depends:
R (>= 4.3)
Imports:
doParallel,
dplyr,
flowCore,
foreach,
ggplot2,
ggraph,
glmnet,
methods,
parallel,
purrr,
readr,
recipes,
rlang,
stringr,
survival,
tidygraph,
tidyr,
tidyselect,
yardstick,
Rcpp,
tibble,
stats,
utils,
RcppHNSW
Suggests:
ConsensusClusterPlus,
Biobase,
broom,
covr,
diffcyt,
emdist,
FlowSOM,
forcats,
ggrepel,
HDCytoData,
knitr,
markdown,
philentropy,
rmarkdown,
Rtsne,
statmod,
SummarizedExperiment,
testthat (>= 3.0.0),
lmerTest,
lme4,
ggridges,
spelling,
scattermore,
preprocessCore,
SingleCellExperiment,
Seurat,
SeuratObject,
embed,
rsample
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.3.1
LinkingTo:
Rcpp
URL: https://keyes-timothy.github.io/tidytof,
https://keyes-timothy.github.io/tidytof/
VignetteBuilder: knitr
Language: en-US
biocViews: SingleCell, FlowCytometry
keyes-timothy
hpages
vjcitn
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