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-4.5)iDOS_1.0.1.zip(r-4.4)iDOS_1.0.1.zip(r-4.3)
iDOS_1.0.1.tgz(r-4.4-any)iDOS_1.0.1.tgz(r-4.3-any)
iDOS_1.0.1.tar.gz(r-4.5-noble)iDOS_1.0.1.tar.gz(r-4.4-noble)
iDOS_1.0.1.tgz(r-4.4-emscripten)iDOS_1.0.1.tgz(r-4.3-emscripten)
iDOS.pdf |iDOS.html
iDOS/json (API)
NEWS

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

Peer review:

On CRAN:

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

9 exports 0.09 score 5 dependencies 10 scripts 177 downloads

Last updated 6 months agofrom:40b5f76f63. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-winOKSep 08 2024
R-4.5-linuxOKSep 08 2024
R-4.4-winOKSep 08 2024
R-4.4-macOKSep 08 2024
R-4.3-winOKSep 08 2024
R-4.3-macOKSep 08 2024

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