Package: iDOS 1.0.1

iDOS: Integrated Discovery of Oncogenic Signatures

A method to integrate molecular profiles of cancer patients (gene copy number and mRNA abundance) to identify candidate gain of function alterations. These candidate alterations can be subsequently further tested to discover cancer driver alterations. Briefly, this method tests of genomic correlates of mRNA dysregulation and prioritise those where DNA gains/amplifications are associated with elevated mRNA expression of the same gene. For details see, Haider S et al. (2016) "Genomic alterations underlie a pan-cancer metabolic shift associated with tumour hypoxia", Genome Biology, <https://pubmed.ncbi.nlm.nih.gov/27358048/>.

Authors:Syed Haider [aut, cre], Francesca Buffa [aut]

iDOS_1.0.1.tar.gz
iDOS_1.0.1.zip(r-4.7)iDOS_1.0.1.zip(r-4.6)iDOS_1.0.1.zip(r-4.5)
iDOS_1.0.1.tgz(r-4.6-any)iDOS_1.0.1.tgz(r-4.5-any)
iDOS_1.0.1.tar.gz(r-4.7-any)iDOS_1.0.1.tar.gz(r-4.6-any)
iDOS_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
iDOS/json (API)
NEWS

# Install 'iDOS' in R:
install.packages('iDOS', repos = c('https://syedhaider5.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 10 scripts 141 downloads 9 exports 5 dependencies

Last updated from:40b5f76f63. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK144
linux-release-x86_64OK101
macos-release-arm64OK144
macos-oldrel-arm64OK141
windows-develOK69
windows-releaseOK62
windows-oldrelOK68
wasm-releaseOK105

Exports:create.counts.tablecreate.training.validation.splitestimate.expression.cna.correlationestimate.null.distribution.correlationfind.DE.featuresget.program.defaultsget.test.dataget.top.featuresload.datasets

Dependencies:formatRfutile.loggerfutile.optionslambda.rVennDiagram

Readme and manuals

Help Manual

Help pageTopics
create.counts.tablecreate.counts.table
create.training.validation.splitcreate.training.validation.split
estimate.expression.cna.correlationestimate.expression.cna.correlation
estimate.null.distribution.correlationestimate.null.distribution.correlation
find.DE.featuresfind.DE.features
get.program.defaultsget.program.defaults
get.test.dataget.test.data
get.top.featuresget.top.features
load.datasetsload.datasets