Last data update: 2014.03.03

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Results 1 - 3 of 3 found.
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imageHTS : Analysis of high-throughput microscopy-based screens

Package: imageHTS
Version: 1.22.0
Title: Analysis of high-throughput microscopy-based screens
Author: Gregoire Pau, Xian Zhang, Michael Boutros, Wolfgang Huber
Maintainer: Joseph Barry <joseph.barry@embl.de>
Depends: R (>= 2.9.0), EBImage (>= 4.3.12), cellHTS2 (>= 2.10.0)
Imports: tools, Biobase, hwriter, methods, vsn, stats, utils, e1071
Description: imageHTS is an R package dedicated to the analysis of
high-throughput microscopy-based screens. The package provides
a modular and extensible framework to segment cells, extract
quantitative cell features, predict cell types and browse
screen data through web interfaces. Designed to operate in
distributed environments, imageHTS provides a standardized
access to remote data and facilitates the dissemination of
high-throughput microscopy-based datasets.
License: LGPL-2.1
Suggests: BiocStyle, MASS
biocViews: Software, CellBasedAssays, Preprocessing, Visualization
NeedsCompilation: no
Packaged: 2016-05-04 03:42:57 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, Preprocessing, Software, Visualization
1 images, 21 functions, 0 datasets
Reverse Depends: 2

coRNAi : Analysis of co-knock-down RNAi data

Package: coRNAi
Type: Package
Title: Analysis of co-knock-down RNAi data
Version: 1.22.0
Author: Elin Axelsson
Maintainer: Elin Axelsson <elin.axelsson@imp.ac.at>
Description: Analysis of combinatorial cell-based RNAi screens
License: Artistic-2.0
Depends: R (>= 2.10), cellHTS2, limma, locfit
Imports: MASS, gplots, lattice, grDevices, graphics, stats
SystemRequirements: Graphviz
biocViews: CellBasedAssays
NeedsCompilation: no
Packaged: 2016-05-04 03:40:12 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays
11 images, 22 functions, 2 datasets
● Reverse Depends: 0

staRank : Stability Ranking

Package: staRank
Type: Package
Title: Stability Ranking
Version: 1.14.0
Date: 2012-02-09
Author: Juliane Siebourg, Niko Beerenwinkel
Maintainer: Juliane Siebourg <juliane.siebourg@bsse.ethz.ch>
Description: Detecting all relevant variables from a data set is
challenging, especially when only few samples are available and
data is noisy. Stability ranking provides improved variable
rankings of increased robustness using resampling or
subsampling.
Depends: methods, cellHTS2, R (>= 2.10)
License: GPL
LazyLoad: Yes
Collate: 'aggregRank.R' 'dataFormatRSA.R' 'getRankmatrix.R'
'getSampleScores.R' 'getStability.R' 'mwTest2samp.R'
'rankSummary.R' 'runRSA.R' 'stabilityRanking.R'
'summaryStats.R' 'uniqueRSARanking.R' 'staRank-package.R'
biocViews: MultipleComparison, CellBiology, CellBasedAssays,
MicrotitrePlateAssay
NeedsCompilation: no
Packaged: 2016-05-04 04:32:32 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, CellBiology, MicrotitrePlateAssay, MultipleComparison
● 0 images, 21 functions, 2 datasets
● Reverse Depends: 0