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DESCRIPTION
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DESCRIPTION
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Package: CATALYST
Type: Package
Title: Cytometry dATa anALYSis Tools
Version: 1.11.0
Depends: R (>= 3.6)
Authors@R: c(
person("Helena L.", "Crowell", email="helena.crowell@uzh.ch", role=c("aut", "cre")),
person("Vito R.T.", "Zanotelli", email="vito.zanotelli@uzh.ch", role="aut"),
person("Stéphane", "Chevrier", role=c("aut", "dtc")),
person("Mark D.", "Robinson", email="mark.robinson@imls.uzh.ch", role=c("aut", "fnd")),
person("Bernd", "Bodenmiller", role="fnd"))
biocViews:
Clustering, DifferentialExpression, ExperimentalDesign,
FlowCytometry, ImmunoOncology, MassSpectrometry,
Normalization, Preprocessing, SingleCell, Software,
StatisticalMethod, Visualization
Description:
Mass cytometry (CyTOF) uses heavy metal isotopes rather than fluorescent
tags as reporters to label antibodies, thereby substantially decreasing
spectral overlap and allowing for examination of over 50 parameters at the
single cell level. While spectral overlap is significantly less pronounced
in CyTOF than flow cytometry, spillover due to detection sensitivity,
isotopic impurities, and oxide formation can impede data interpretability.
We designed CATALYST (Cytometry dATa anALYSis Tools) to provide a pipeline
for preprocessing of cytometry data, including i) normalization using bead
standards, ii) single-cell deconvolution, and iii) bead-based compensation.
Imports:
Biobase,
circlize, ComplexHeatmap, ConsensusClusterPlus, cowplot,
data.table, dplyr, drc, DT,
flowCore, FlowSOM,
ggplot2, ggrepel, ggridges, graphics, grDevices, grid, gridExtra,
htmltools,
limma,
magrittr, Matrix, matrixStats, methods,
nnls,
plotly, purrr,
RColorBrewer, reshape2, Rtsne,
SingleCellExperiment, SummarizedExperiment,
S4Vectors, scales, scater, shiny, shinydashboard, shinyBS, shinyjs, stats,
utils
Suggests: BiocStyle, knitr, rmarkdown, testthat, diffcyt
URL: https://github.com/HelenaLC/CATALYST
BugReports: https://github.com/HelenaLC/CATALYST/issues
VignetteBuilder: knitr
RoxygenNote: 6.1.1
License: GPL (>=2)
LazyData: TRUE
Encoding: UTF-8