Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 1 of 1 found.
[1] < 1 > [1]  Sort:

cellHTS2 : Analysis of cell-based screens - revised version of cellHTS

Package: cellHTS2
Version: 2.36.0
Title: Analysis of cell-based screens - revised version of cellHTS
Author: Ligia Bras, Wolfgang Huber <whuber@embl.de>, Michael Boutros <m.boutros@dkfz.de>, Gregoire Pau <gpau@embl.de>, Florian Hahne <florian.hahne@novartis.com>
Maintainer: Joseph Barry <joseph.barry@embl.de>
Depends: R (>= 2.10), RColorBrewer, Biobase, methods, genefilter,
splots, vsn, hwriter, locfit, grid
Suggests: ggplot2
Imports: prada, GSEABase, Category, stats4
Description: This package provides tools for the analysis of high-throughput assays that were performed in microtitre plate formats (including but not limited to 384-well plates). The functionality includes data import and management, normalisation, quality assessment, replicate summarisation and statistical scoring. A webpage that provides a detailed graphical overview over the data and analysis results is produced. In our work, we have applied the package to RNAi screens on fly and human cells, and for screens of yeast libraries. See ?cellHTS2 for a brief introduction.
Reference: Michael Boutros and Ligia P. Bras and Wolfgang Huber.
Analysis of cell-based RNAi screens. Genome Biology 7:7 R66
(2006).
License: Artistic-2.0
URL: http://www.dkfz.de/signaling
biocViews: CellBasedAssays, Preprocessing, Visualization
Collate: AllClasses.R AllGenerics.R adjustVariance.R checkColumns.R
checkControls.R convertOldCellHTS.R envisionPlateReader.R
getDynamicRange.R getMeasureRepAgreement.R getTopTable.R
getZfactor.R gseaModule.R glossary.R htmlFunctions.R
imageScreen.R makePlot.R methods-cellHTS.R methods-ROC.R
normalizePlates.R oneRowPerId.R perPlateScaling.R
plateConfModule.R plateListModule.R plateSummariesModule.R
plotSpatialEffects.R progressReport.R readHTAnalystData.R
readPlateList.R rsa.R screenResultsModule.R
screenDescriptionModule.R screenScriptModule.R
screenSummaryModule.R settings.R summarizeReplicates.R
tableOutput.R templateDescriptionFile.R writeHTML-methods.R
writeReport.R write.tabdel.R zzz.R
NeedsCompilation: no
Packaged: 2016-05-04 03:03:58 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CellBasedAssays, Preprocessing, Visualization
6 images, 42 functions, 5 datasets
Reverse Depends: 3