Last data update: 2014.03.03
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OncoScore
Package: OncoScore
Version: 1.0.0
Date: 2016-03-16
Title: A tool to identify potentially oncogenic genes
Authors@R: c(person("Daniele", "Ramazzotti", role=c("aut", "cre"),
email="daniele.ramazzotti@yahoo.com"), person("Luca", "De
Sano", role=c("aut"), email="l.desano@campus.unimib.it"),
person("Roberta", "Spinelli", role=c("ctb"),
email="spinelli.roberta@gmail.com"), person("Carlo",
"Gambacorti Passerini", role=c("ctb"),
email="carlo.gambacorti@unimib.it"), person("Rocco", "Piazza",
role=c("ctb"), email="rocco.piazza@unimib.it"))
Maintainer: Daniele Ramazzotti <daniele.ramazzotti@yahoo.com>
Depends: R (>= 3.3),
Imports: biomaRt, grDevices, graphics, utils,
Suggests: BiocGenerics, BiocStyle, testthat,
Description: OncoScore is a tool to measure the association of genes to
cancer based on citation frequency in biomedical literature.
The score is evaluated from PubMed literature by dynamically
updatable web queries.
Encoding: UTF-8
LazyData: TRUE
License: GPL-3
URL: https://github.com/danro9685/OncoScore
BugReports: https://github.com/danro9685/OncoScore
biocViews: BiomedicalInformatics
RoxygenNote: 5.0.1
NeedsCompilation: no
Author: Daniele Ramazzotti [aut, cre], Luca De Sano [aut], Roberta
Spinelli [ctb], Carlo Gambacorti Passerini [ctb], Rocco Piazza
[ctb]
Packaged: 2016-05-05 05:49:25 UTC; biocbuild
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'OncoScore' ...
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'OncoScore'
finding HTML links ... done
compute.frequencies.scores html
compute.oncoscore html
compute.oncoscore.from.region html
compute.oncoscore.timeseries html
estimate.oncogenes html
genes html
get.genes.from.biomart html
get.list.from.xml html
get.pubmed.driver.analysis html
perform.query html
perform.query.timeseries html
plot.oncoscore html
plot.oncoscore.timeseries html
query html
query.timepoints html
timepoints html
try.scan html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (OncoScore)
Making 'packages.html' ... done
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