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Last data update: 2014.03.03
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CranContrib
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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
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0 images,
13 functions,
0 datasets
●
Reverse Depends: 0
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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
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41 images,
33 functions,
0 datasets
●
Reverse Depends: 0
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Package: flowWorkspace
Type: Package
Title: Infrastructure for representing and interacting with the gated
cytometry
Version: 3.18.8
Date: 2011-06-10
Author: Greg Finak, Mike Jiang
Maintainer: Greg Finak <gfinak@fhcrc.org>,Mike Jiang <wjiang2@fhcrc.org>
Description: This package is designed to facilitate comparison of automated
gating methods against manual gating done in flowJo. This package allows
you to import basic flowJo workspaces into BioConductor and replicate the
gating from flowJo using the flowCore functionality. Gating hierarchies,
groups of samples, compensation, and transformation are performed so that
the output matches the flowJo analysis.
License: Artistic-2.0
LazyLoad: yes
Imports: Biobase, BiocGenerics, graph, graphics, lattice, methods,
stats, stats4, utils, RBGL, XML, tools, gridExtra, Rgraphviz,
data.table, dplyr, latticeExtra, Rcpp, RColorBrewer, stringr,
scales
Collate: 'AllGenerics.R' 'AllClasses.R' 'GatingHierarchy_Methods.R'
'GatingSet_Methods.R' 'GatingSetList_Methods.R' 'RcppExports.R'
'filterObject_Methods.R' 'add_Methods.R'
'flowJoWorkspace_Methods.R' 'flow_trans.R' 'merge_GatingSet.R'
'setGate_Methods.R' 'utils.R' 'zzz.R'
Depends: R (>= 2.16.0), flowCore (>= 1.37.8), flowViz (>=
1.29.27), ncdfFlow (>= 2.17.4), gridExtra
biocViews: FlowCytometry, DataImport, Preprocessing, DataRepresentation
Suggests: testthat, flowWorkspaceData, RSVGTipsDevice, knitr, ggcyto
LinkingTo: Rcpp, BH(>= 1.60.0-1)
VignetteBuilder: knitr
SystemRequirements: xml2, GNU make
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-06-22 02:57:25 UTC; biocbuild
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