Last data update: 2014.03.03

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ROntoTools : R Onto-Tools suite

Package: ROntoTools
Type: Package
Title: R Onto-Tools suite
Version: 2.0.0
Author: Calin Voichita <calin@wayne.edu> and Sahar Ansari
<saharansari@wayne.edu> and Sorin Draghici <sorin@wayne.edu>
Maintainer: Calin Voichita <calin@wayne.edu>
Description: Suite of tools for functional analysis.
biocViews: NetworkAnalysis, Microarray, GraphsAndNetworks
License: CC BY-NC-ND 4.0 + file LICENSE
Depends: methods, graph, boot, KEGGREST, KEGGgraph, Rgraphviz
Suggests: RUnit, BiocGenerics
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-04 04:54:40 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: GraphsAndNetworks, Microarray, NetworkAnalysis
9 images, 25 functions, 0 datasets
● Reverse Depends: 0

SPIA : Signaling Pathway Impact Analysis (SPIA) using combined evidence of pathway over-representation and unusual signaling perturbations

Package: SPIA
Version: 2.24.0
Date: 2013-2-20
Title: Signaling Pathway Impact Analysis (SPIA) using combined evidence
of pathway over-representation and unusual signaling
perturbations
Author: Adi Laurentiu Tarca <atarca@med.wayne.edu>, Purvesh Kathri
<purvesh@cs.wayne.edu> and Sorin Draghici <sorin@wayne.edu>
Depends: R (>= 2.14.0), graphics, KEGGgraph
Suggests: graph, Rgraphviz, hgu133plus2.db
Maintainer: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Description: This package implements the Signaling Pathway Impact
Analysis (SPIA) which uses the information form a list of
differentially expressed genes and their log fold changes
together with signaling pathways topology, in order to identify
the pathways most relevant to the condition under the study.
License: file LICENSE
License_restricts_use: yes
URL: http://bioinformatics.oxfordjournals.org/cgi/reprint/btn577v1
Collate: spia.R plotP.R combfunc.R getP2.R makeSPIAdata.R
Imports: graphics
LazyLoad: yes
Packaged: 2016-05-04 03:17:12 UTC; biocbuild
biocViews: Microarray, GraphAndNetwork
NeedsCompilation: no

● Data Source: BioConductor
● BiocViews: GraphAndNetwork, Microarray
4 images, 5 functions, 2 datasets
● Reverse Depends: 0