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Last data update: 2014.03.03

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maigesPack : Functions to handle cDNA microarray data, including several methods of data analysis

Package: maigesPack
Version: 1.36.0
Title: Functions to handle cDNA microarray data, including several
methods of data analysis
Author: Gustavo H. Esteves <gesteves@gmail.com>, with contributions
from Roberto Hirata Jr <hirata@ime.usp.br>, E. Jordao Neves
<neves@ime.usp.br>, Elier B. Cristo <elier@ime.usp.br>, Ana C.
Simoes <anakqui@ime.usp.br> and Lucas Fahham
<fahham@linux.ime.usp.br>
Maintainer: Gustavo H. Esteves <gesteves@gmail.com>
Depends: R (>= 2.10), convert, graph, limma, marray, methods
Suggests: amap, annotate, class, e1071, MASS, multtest, OLIN, R2HTML,
rgl, som
Description: This package uses functions of various other packages
together with other functions in a coordinated way to handle
and analyse cDNA microarray data
License: GPL (>= 2)
LazyLoad: yes
Collate: AllClasses.R AllGenerics.R print-methods.R summary-methods.R
show-methods.R dim-methods.R indexing-methods.R
coerce-methods.R plot-methods.R image-methods.R
boxplot-methods.R calcA-methods.R calcW-methods.R
getLabels-methods.R activeMod.R activeModScoreHTML.R
activeNet.R activeNetScoreHTML.R addGeneGrps.R addPaths.R
bootstrapCor.R bootstrapMI.R bootstrapT.R classifyKNN.R
classifyKNNsc.R classifyLDA.R classifyLDAsc.R classifySVM.R
classifySVMsc.R colors.R compCorr.R contrastsFitM.R
createMaigesRaw.R createTDMS.R deGenes2by2BootT.R
deGenes2by2Ttest.R deGenes2by2Wilcox.R deGenesANOVA.R
designANOVA.R heatmapsM.R hierMde.R hierM.R kmeansMde.R
kmeansM.R loadData.R MI.R normLoc.R normOLIN.R normRepLoess.R
normScaleLimma.R normScaleMarray.R plotGenePair.R relNet2TGF.R
relNetworkB.R relNetworkM.R robustCorr.R selSpots.R somMde.R
somM.R summarizeReplicates.R tableClass.R tablesDE.R
URL: http://www.maiges.org/en/software/
biocViews: Microarray, TwoChannel, Preprocessing, ThirdPartyClient,
DifferentialExpression, Clustering, Classification,
GraphAndNetwork
NeedsCompilation: yes
Packaged: 2016-05-04 03:03:43 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Classification, Clustering, DifferentialExpression, GraphAndNetwork, Microarray, Preprocessing, ThirdPartyClient, TwoChannel
● 47 images, 70 functions, 1 datasets
● Reverse Depends: 0

TurboNorm : A fast scatterplot smoother suitable for microarray normalization

Package: TurboNorm
Type: Package
Title: A fast scatterplot smoother suitable for microarray
normalization
Version: 1.20.0
Date: 2014-18-08
Author: Maarten van Iterson and Chantal van Leeuwen
Maintainer: Maarten van Iterson <mviterson@gmail.com>
Description: A fast scatterplot smoother based on B-splines with second-order difference penalty. Functions for microarray normalization of single-colour data i.e. Affymetrix/Illumina and two-colour data supplied as marray MarrayRaw-objects or limma RGList-objects are available.
License: LGPL
LazyLoad: yes
Depends: R (>= 2.12.0), convert, limma (>= 1.7.0), marray
Imports: stats, grDevices, affy, lattice
Suggests: BiocStyle, affydata
biocViews: Microarray, OneChannel, TwoChannel, Preprocessing,
DNAMethylation, CpGIsland, MethylationArray, Normalization
URL: http://www.humgen.nl/MicroarrayAnalysisGroup.html
NeedsCompilation: yes
Packaged: 2016-05-04 03:53:07 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CpGIsland, DNAMethylation, MethylationArray, Microarray, Normalization, OneChannel, Preprocessing, TwoChannel
● 5 images, 5 functions, 1 datasets
● Reverse Depends: 0