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Results 1 - 10 of 58 found.
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logitT : logit-t Package

Package: logitT
Version: 1.30.0
Date: 2008-09-14
Title: logit-t Package
Author: Tobias Guennel <tguennel@vcu.edu>
Maintainer: Tobias Guennel <tguennel@vcu.edu>
Depends: affy
Suggests: SpikeInSubset
Description: The logitT library implements the Logit-t algorithm introduced in
--A high performance test of differential gene expression for oligonucleotide arrays--
by William J Lemon, Sandya Liyanarachchi and Ming You for use with Affymetrix data
stored in an AffyBatch object in R.
License: GPL (>= 2)
URL: http://www.bioconductor.org
biocViews: Microarray, DifferentialExpression
NeedsCompilation: yes
Packaged: 2016-05-04 03:09:35 UTC; biocbuild

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

maPredictDSC : Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Package: maPredictDSC
Version: 1.10.0
Date: 2013-6-27
Title: Phenotype prediction using microarray data: approach of the best
overall team in the IMPROVER Diagnostic Signature Challenge
Author: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Depends: R (>= 2.15.0),
MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Suggests: parallel
Maintainer: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Description: This package implements the classification pipeline of the best overall team (Team221) in the IMPROVER Diagnostic Signature Challenge. Additional functionality is added to compare 27 combinations of data preprocessing, feature selection and classifier types.
License: GPL-2
URL: http://bioinformaticsprb.med.wayne.edu/maPredictDSC
biocViews: Microarray, Classification
Collate: aggregateDSC.R perfDSC.R predictDSC.R maPredictDSC.R
Imports:
LazyLoad: yes
Packaged: 2016-05-04 05:01:21 UTC; biocbuild
NeedsCompilation: no

● Data Source: BioConductor
● BiocViews: Classification, Microarray
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

curatedBladderData : Bladder Cancer Gene Expression Analysis

Package: curatedBladderData
Type: Package
Title: Bladder Cancer Gene Expression Analysis
Version: 1.8.0
Date: 2013-09-02
Author: Markus Riester
Maintainer: Markus Riester <markus@jimmy.harvard.edu>
Description: The curatedBladderData package provides relevant functions and data for gene expression analysis in patients with bladder cancer.
Depends: R (>= 2.10.0), affy
Suggests: BiocStyle, survival, xtable, sva, genefilter, logging
License: Artistic-2.0
biocViews: ExperimentData, CancerData, OvarianCancerData,
MicroarrayData, ExpressionData
NeedsCompilation: no
Packaged: 2016-05-07 20:41:22 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CancerData, ExperimentData, ExpressionData, MicroarrayData, OvarianCancerData
● 0 images, 1 functions, 12 datasets
● Reverse Depends: 0

curatedOvarianData : Clinically Annotated Data for the Ovarian Cancer Transcriptome

Package: curatedOvarianData
Type: Package
Title: Clinically Annotated Data for the Ovarian Cancer Transcriptome
Version: 1.10.0
Date: 2015-03-05
Author: Benjamin F. Ganzfried, Markus Riester, Steve Skates, Victoria Wang, Thomas Risch, Benjamin Haibe-Kains, Svitlana Tyekucheva, Jie Ding, Ina Jazic, Michael Birrer, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron
Maintainer: Levi Waldron <lwaldron.research@gmail.com>
Description: The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer.
Depends: R (>= 2.10.0), affy
Imports: BiocGenerics
Suggests: survival, RUnit, metafor, genefilter, logging, sva, xtable,
futile.logger, BiocStyle
License: Artistic-2.0
URL: http://bcb.dfci.harvard.edu/ovariancancer
biocViews: ExperimentData, RNASeqData, CancerData, OvarianCancerData,
MicroarrayData
NeedsCompilation: no
Packaged: 2016-05-07 20:31:42 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CancerData, ExperimentData, MicroarrayData, OvarianCancerData, RNASeqData
● 0 images, 1 functions, 30 datasets
● Reverse Depends: 0

dualKS : Dual KS Discriminant Analysis and Classification

Package: dualKS
Type: Package
Title: Dual KS Discriminant Analysis and Classification
Version: 1.32.0
Date: 2008-04-25
Author: Eric J. Kort, Yarong Yang
Maintainer: Eric J. Kort <ericjkort@gmail.com>,
Yarong Yang <yarong.yang@ndsu.edu>
Imports: graphics
Depends: R (>= 2.6.0), Biobase (>= 1.15.0), affy, methods
Description: This package implements a Kolmogorov Smirnov rank-sum based
algorithm for training (i.e. discriminant analysis--identification
of genes that discriminate between classes) and classification
of gene expression data sets. One of the chief strengths of
this approach is that it is amenable to the "multiclass" problem.
That is, it can discriminate between more than 2 classes.
Collate: AllClasses.R summary-methods.R plot-methods.R show-methods.R
dksClassify.R dksCustomClass.R dksPerm.R dksSelectGenes.R
dksToGeneSet.R dksTrain.R dksWeights.R KS.R makeClassifier.R
predictClass.R rKS.R rKSScan.R
License: LGPL (>= 2.0)
biocViews: Microarray, Classification
NeedsCompilation: no
Packaged: 2016-05-04 05:20:57 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Classification, Microarray
4 images, 12 functions, 1 datasets
● Reverse Depends: 0

ecoliLeucine : Experimental data with Affymetrix E. coli chips

Package: ecoliLeucine
Version: 1.12.0
Date: 2007-07-22
Title: Experimental data with Affymetrix E. coli chips
Author: Laurent Gautier
Maintainer: Laurent Gautier <lgautier@gmail.com>
Depends: R (>= 1.9.0), affy (>= 1.23.4), ecolicdf
Description: Experimental data with Affymetrix E. coli chips, as reported in She-pin Hung, Pierre Baldi, and G. Wesley Hatfield, J. Biol. Chem., Vol. 277, Issue 43, 40309-40323, October 25, 2002
License: GPL (>= 2)
biocViews: ExperimentData, MicroarrayData
NeedsCompilation: no
Packaged: 2016-05-07 20:10:38 UTC; biocbuild

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

estrogen : 2x2 factorial design exercise for the Bioconductor short course

Package: estrogen
Title: 2x2 factorial design exercise for the Bioconductor short course
Version: 1.18.0
Date: 2006-06-06
Author: Wolfgang Huber, Robert Gentleman
Maintainer: R. Gentleman <rgentlem@hsph.harvard.edu>
Description: Data from 8 Affymetrix genechips, looking at a 2x2 factorial design (with 2 repeats per level)
biocViews: ExperimentData, MicroarrayData
License: LGPL
Depends: R (>= 1.9.0), affy (>= 1.4)
Suggests: Biobase (>= 1.13.16), affy, vsn, hgu95av2.db, genefilter
Packaged: 2016-05-07 20:12:07 UTC; biocbuild
NeedsCompilation: no

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

simpleaffy : Very simple high level analysis of Affymetrix data

Package: simpleaffy
Title: Very simple high level analysis of Affymetrix data
Version: 2.48.0
Author: Crispin J Miller
Description: Provides high level functions for reading Affy .CEL files,
phenotypic data, and then computing simple things with it, such
as t-tests, fold changes and the like. Makes heavy use of the
affy library. Also has some basic scatter plot functions and
mechanisms for generating high resolution journal figures...
Maintainer: Crispin Miller <cmiller@picr.man.ac.uk>
Depends: R (>= 2.0.0), methods, utils, grDevices, graphics, stats,
BiocGenerics (>= 0.1.12), Biobase, affy (>= 1.33.6),
genefilter, gcrma
Imports: methods, utils, grDevices, graphics, stats, BiocGenerics,
Biobase, affy, genefilter, gcrma
License: GPL (>= 2)
URL: http://www.bioconductor.org
http://bioinformatics.picr.man.ac.uk/simpleaffy/
LazyLoad: yes
biocViews: Microarray, OneChannel, QualityControl, Preprocessing,
Transcription, DataImport, DifferentialExpression, Annotation,
ReportWriting, Visualization
NeedsCompilation: yes
Packaged: 2016-05-04 02:39:53 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Annotation, DataImport, DifferentialExpression, Microarray, OneChannel, Preprocessing, QualityControl, ReportWriting, Transcription, Visualization
4 images, 37 functions, 1 datasets
Reverse Depends: 1

sscore : S-Score Algorithm for Affymetrix Oligonucleotide Microarrays

Package: sscore
Version: 1.44.0
Date: 2009-04-11
Title: S-Score Algorithm for Affymetrix Oligonucleotide Microarrays
Author: Richard Kennedy <rkennedy@ms.soph.uab.edu>, based on C++ code
from Li Zhang <zhangli@odin.mdacc.tmc.edu> and Borland Delphi
code from Robnet Kerns <rtkerns@vcu.edu>.
Maintainer: Richard Kennedy <rkennedy@ms.soph.uab.edu>
Depends: R (>= 1.8.0), affy, affyio
Suggests: affydata
Description: This package contains an implementation of the S-Score
algorithm as described by Zhang et al (2002).
License: GPL (>= 2)
URL: http://home.att.net/~richard-kennedy/professional.html
biocViews: DifferentialExpression
NeedsCompilation: no
Packaged: 2016-05-04 02:49:42 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DifferentialExpression
● 0 images, 11 functions, 0 datasets
● Reverse Depends: 0

webbioc : Bioconductor Web Interface

Package: webbioc
Version: 1.44.0
Date: 2009-02-05
Title: Bioconductor Web Interface
Author: Colin A. Smith <colin@colinsmith.org>
Maintainer: Colin A. Smith <colin@colinsmith.org>
Depends: R (>= 1.8.0), Biobase, affy, multtest, annaffy, vsn, gcrma,
qvalue
Imports: multtest, qvalue, stats, utils, BiocInstaller
SystemRequirements: Unix, Perl (>= 5.6.0), Netpbm
Description: An integrated web interface for doing microarray analysis
using several of the Bioconductor packages. It is intended to
be deployed as a centralized bioinformatics resource for use
by many users. (Currently only Affymetrix oligonucleotide
analysis is supported.)
License: GPL (>= 2)
URL: http://www.bioconductor.org/
LazyLoad: yes
biocViews: Infrastructure, Microarray, OneChannel,
DifferentialExpression
NeedsCompilation: no
Packaged: 2016-05-04 02:39:29 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: DifferentialExpression, Infrastructure, Microarray, OneChannel
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0