Last data update: 2014.03.03

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Results 1 - 4 of 4 found.
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QUALIFIER : Quality Control of Gated Flow Cytometry Experiments

Package: QUALIFIER
Type: Package
Title: Quality Control of Gated Flow Cytometry Experiments
Version: 1.16.1
Author: Mike Jiang,Greg Finak,Raphael Gottardo
Maintainer: Mike Jiang <wjiang2@fhcrc.org>
Depends: R (>= 2.14.0), flowCore, flowViz, ncdfFlow, flowWorkspace,
data.table, reshape
Imports:
MASS,hwriter,lattice,stats4,flowCore,flowViz,methods,flowWorkspace,latticeExtra,grDevices,tools,
Biobase,XML,grid
Description: Provides quality control and quality assessment tools for gated
flow cytometry data.
License: Artistic-2.0
biocViews: Infrastructure, FlowCytometry, CellBasedAssays
Suggests: RSVGTipsDevice, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-05-16 03:15:56 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry, Infrastructure
● 0 images, 13 functions, 0 datasets
● Reverse Depends: 0

openCyto : Hierarchical Gating Pipeline for flow cytometry data

Package: openCyto
Type: Package
Title: Hierarchical Gating Pipeline for flow cytometry data
Version: 1.10.3
Date: 2012-06-11
Author: Mike Jiang, John Ramey, Greg Finak, Raphael Gottardo
Maintainer: Mike Jiang <wjiang2@fhcrc.org>
Description: This package is designed to facilitate the automated gating
methods in sequential way to mimic the manual gating strategy.
License: Artistic-2.0
LazyLoad: yes
Depends: flowWorkspace (>= 3.17.43)
Imports: methods, Biobase, gtools, flowCore (>=
1.31.17), flowViz, ncdfFlow (>=
2.11.34), flowWorkspace, flowStats (>=
3.29.1), flowClust, MASS, clue, plyr, RBGL, graph, data.table, ks, RColorBrewer, lattice, rrcov, R.utils
Suggests: flowWorkspaceData, knitr, testthat, utils, tools, parallel
biocViews: FlowCytometry, DataImport, Preprocessing, DataRepresentation
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-05-16 04:09:01 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DataImport, DataRepresentation, FlowCytometry, Preprocessing
● 0 images, 71 functions, 0 datasets
● Reverse Depends: 0

ggcyto : Visualize Cytometry data with ggplot

Package: ggcyto
Type: Package
Title: Visualize Cytometry data with ggplot
Version: 1.0.5
Date: 2015-11-02
Author: Mike Jiang
Maintainer: Mike Jiang <wjiang2@fhcrc.org>
Description: With the dedicated fority method implemented for flowSet,
ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data
can be plotted directly with ggplot. ggcyto wrapper and some customed
layers also make it easy to add gates and population statistics to the
plot.
VignetteBuilder: knitr
Depends: methods, ggplot2 (>= 2.0.0), flowCore, ncdfFlow (>= 2.17.1),
flowWorkspace (>= 3.17.24)
Imports: plyr, scales, data.table, RColorBrewer, gridExtra
Suggests: testthat, flowWorkspaceData, knitr, rmarkdown, flowStats,
openCyto, flowViz
License: Artistic-2.0
URL: https://github.com/RGLab/ggcyto/issues
biocViews: FlowCytometry, CellBasedAssays, Infrastructure,
Visualization
Collate: 'AllClasses.R' 'autoplot.R' 'axis_inverse_trans.R'
'compute_stats.R' 'fortify.R' 'fortify_fs.R' 'geom_gate.R'
'geom_hvline.R' 'geom_stats.R' 'getFlowFrame.R' 'ggcyto.R'
'ggcyto_GatingLayout.R' 'ggcyto_GatingSet.R' 'ggcyto_flowSet.R'
'labs.R' 'ggcyto_par.R' 'scales_flowJo_biexp.R'
'scales_flowJo_fasinh.R' 'scales_logicle.R' 'stat_position.R'
'utility.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-19 05:53:43 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry, Infrastructure, Visualization
41 images, 33 functions, 0 datasets
● Reverse Depends: 0

flowStats : Statistical methods for the analysis of flow cytometry data

Package: flowStats
Type: Package
Title: Statistical methods for the analysis of flow cytometry data
Version: 3.30.0
Author: Florian Hahne, Nishant Gopalakrishnan, Alireza Hadj Khodabakhshi,
Chao-Jen Wong, Kyongryun Lee
Maintainer: Greg Finak <gfinak@fhcrc.org> and Mike Jiang <wjiang2@fhcrc.org>
Description: Methods and functionality to analyse flow data that is beyond the
basic infrastructure provided by the flowCore package.
Depends: R (>= 2.10), flowCore, fda (>= 2.2.6), mvoutlier, cluster,
flowWorkspace
Suggests: xtable
Imports: BiocGenerics, MASS, flowViz, flowCore, fda (>= 2.2.6),
Biobase, methods, grDevices, graphics, stats, utils,
KernSmooth, lattice, ks
Enhances: RBGL,ncdfFlow,graph
License: Artistic-2.0
Lazyload: yes
biocViews: FlowCytometry, CellBasedAssays
NeedsCompilation: no
Packaged: 2016-05-04 03:14:08 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry
24 images, 23 functions, 2 datasets
Reverse Depends: 1