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Last data update: 2014.03.03

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Results 1 - 10 of 19 found.
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immunoClust : immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

Package: immunoClust
Type: Package
Title: immunoClust - Automated Pipeline for Population Detection in
Flow Cytometry
Version: 1.4.0
Date: 2016-03-23
Author: Till Soerensen <till-antoni.soerensen@charite.de>
Maintainer: Till Soerensen <till-antoni.soerensen@charite.de>
Depends: R (>= 3.2), methods, stats, graphics, grid, lattice, flowCore
Suggests: BiocStyle
Description: Model based clustering and meta-clustering of Flow
Cytometry Data
Collate: class.immunoClust.R plot.immunoClust.R splom.immunoClust.R
data.R process.R cell.clustering.R meta.clustering.R
meta.gating.R meta.export.R meta.plot.R clust.util.R
transform.R
biocViews: Clustering, FlowCytometry, CellBasedAssays
License: Artistic-2.0
NeedsCompilation: yes
Packaged: 2016-05-04 06:10:18 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, Clustering, FlowCytometry
● 4 images, 23 functions, 3 datasets
● Reverse Depends: 0

plateCore : Statistical tools and data structures for plate-based flow cytometry

Package: plateCore
Version: 1.30.0
Date: 2010-04-12
Title: Statistical tools and data structures for plate-based flow
cytometry
Author: Errol Strain, Florian Hahne, and Perry Haaland
Maintainer: Errol Strain <estrain@gmail.com>
Depends: R (>= 2.10), flowCore, flowViz, lattice, latticeExtra
Imports: Biobase, flowCore, graphics, grDevices, lattice, MASS,
methods, robustbase, stats, utils, flowStats
Suggests: gplots
Description: Provides basic S4 data structures and routines for
analyzing plate based flow cytometry data.
License: Artistic-2.0
URL: http://www.bioconductor.org
biocViews: FlowCytometry, Infrastructure, CellBasedAssays
NeedsCompilation: no
Packaged: 2016-05-04 03:17:38 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry, Infrastructure
● 10 images, 23 functions, 2 datasets
● Reverse Depends: 0

CONFESS : Cell OrderiNg by FluorEScence Signal

Package: CONFESS
Type: Package
Title: Cell OrderiNg by FluorEScence Signal
Version: 1.0.2
Date: 2016-04-28
Author: Diana LOW and Efthimios MOTAKIS
Maintainer: Diana LOW <dlow@imcb.a-star.edu.sg>
Description: Single Cell Fluidigm Spot Detector.
License: GPL-2
LazyData: TRUE
Depends: R (>= 3.3), grDevices, utils, stats, graphics
Imports:
methods,changepoint,cluster,contrast,ecp,EBImage,flexmix,flowCore,flowClust,flowMeans,flowMerge,flowPeaks,foreach,ggplot2,grid,limma,MASS,moments,outliers,parallel,plotrix,raster,readbitmap,reshape2,SamSPECTRAL,waveslim,wavethresh,zoo
biocViews:
GeneExpression,DataImport,CellBiology,Clustering,RNASeq,QualityControl,Visualization,TimeCourse,Regression,Classification
Collate: fluo_est.R fluo_NBE.R internal_fluo_NBE.R internal_fluo_est.R
internal_DDHF.R simulator.R cases.R
RoxygenNote: 5.0.1
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, CONFESSdata
NeedsCompilation: no
Packaged: 2016-05-16 06:08:47 UTC; biocbuild

● Data Source: BioConductor
● 0 images, 110 functions, 12 datasets
● Reverse Depends: 0

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

ncdfFlow : ncdfFlow: A package that provides HDF5 based storage for flow cytometry data.

Package: ncdfFlow
Title: ncdfFlow: A package that provides HDF5 based storage for flow
cytometry data.
Version: 2.18.0
Author: Mike Jiang,Greg Finak,N. Gopalakrishnan
Description: Provides HDF5 storage based methods and functions for
manipulation of flow cytometry data.
Maintainer: Mike Jiang <wjiang2@fhcrc.org>
Depends: R (>= 2.14.0), flowCore (>= 1.37.15), flowViz, RcppArmadillo,
methods, BH
Imports: Biobase, BiocGenerics, flowCore, flowViz, zlibbioc
Suggests: testthat, parallel
License: Artistic-2.0
SystemRequirements: hdf5 (>= 1.8.0)
biocViews: FlowCytometry
Packaged: 2016-05-04 04:18:33 UTC; biocbuild
LinkingTo: Rcpp,RcppArmadillo,BH
NeedsCompilation: yes

● Data Source: BioConductor
● BiocViews: FlowCytometry
● 0 images, 22 functions, 0 datasets
● Reverse Depends: 3

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

healthyFlowData : Healthy dataset used by the flowMatch package

Package: healthyFlowData
Type: Package
Title: Healthy dataset used by the flowMatch package
Version: 1.10.0
Date: 2013-10-29
Author: Ariful Azad
Maintainer: Ariful Azad <aazad@purdue.edu>
Description: A healthy dataset with 20 flow cytometry samples used by the flowMatch package.
License: Artistic-2.0
biocViews: FlowCytometryData
Depends: R (>= 2.15.0), flowCore
Imports: methods
NeedsCompilation: no
Packaged: 2016-05-07 20:44:27 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: FlowCytometryData
● 0 images, 0 functions, 1 datasets
● Reverse Depends: 0

flowBeads : flowBeads: Analysis of flow bead data

Package: flowBeads
Type: Package
Version: 1.10.0
Title: flowBeads: Analysis of flow bead data
Author: Nikolas Pontikos
Date: 2013-03-01
Description: This package extends flowCore to provide functionality
specific to bead data. One of the goals of this package is to
automate analysis of bead data for the purpose of
normalisation.
Maintainer: Nikolas Pontikos <n.pontikos@gmail.com>
Depends: R (>= 2.15.0), methods, Biobase, rrcov, flowCore
Imports: flowCore, rrcov, knitr, xtable
Suggests: flowViz
License: Artistic-2.0
Packaged: 2016-05-04 04:58:51 UTC; biocbuild
InstallableEverywhere: yes
Collate: 'AllGenerics.R' 'AllClasses.R' 'get-methods.R'
'show-methods.R' 'plot-methods.R' 'beads.R' 'beads1-data.R'
'beads2-data.R' 'dakomef-data.R' 'cytocalmef-data.R'
'flowBeads-package.R'
biocViews: Infrastructure, FlowCytometry, CellBasedAssays
NeedsCompilation: no

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry, Infrastructure
● 0 images, 19 functions, 4 datasets
● Reverse Depends: 0

flowBin : Combining multitube flow cytometry data by binning

Package: flowBin
Type: Package
Title: Combining multitube flow cytometry data by binning
Version: 1.8.0
Date: 2013-5-11
Author: Kieran O'Neill
Maintainer: Kieran O'Neill <koneill@bccrc.ca>
Description: Software to combine flow cytometry data that has been multiplexed
into multiple tubes with common markers between them, by establishing
common bins across tubes in terms of the common markers, then determining
expression within each tube for each bin in terms of the tube-specific
markers.
License: Artistic-2.0
LazyLoad: yes
Imports: class, limma, snow, BiocGenerics
Depends: methods, flowCore, flowFP, R (>= 2.10)
Suggests: parallel
biocViews: CellBasedAssays, FlowCytometry
Collate: 'AllClasses.R' 'AllGenerics.R' 'BinnedFlowSample-accessors.R'
'checkQNorm.R' 'flowBin.R' 'flowFPBin.R'
'FlowSample-accessors.R' 'getBinExpr.R' 'kMeansBin.R'
'mapClustersKNN.R' 'quantileNormalise.R' 'removeSparseBins.R'
NeedsCompilation: no
Packaged: 2016-05-04 05:15:21 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, FlowCytometry
● 2 images, 12 functions, 1 datasets
● Reverse Depends: 0

flowClean : flowClean

Package: flowClean
Version: 1.10.0
Title: flowClean
Description: A quality control tool for flow cytometry data based on compositional data analysis.
Author: Kipper Fletez-Brant
Maintainer: Kipper Fletez-Brant <cafletezbrant@gmail.com>
Depends: R (>= 2.15.0), flowCore
Imports: bit, changepoint, sfsmisc
Suggests: flowViz, grid, gridExtra
License: Artistic-2.0
LazyLoad: yes
biocViews: FlowCytometry, QualityControl
NeedsCompilation: no
Packaged: 2016-05-04 05:31:15 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: FlowCytometry, QualityControl
● 0 images, 1 functions, 1 datasets
● Reverse Depends: 0