Skip to content

GAPGOM

Bioc removed

GAPGOM (novel Gene Annotation Prediction and other GO Metrics)

v1.16.0 · MIT + file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Removed after 3.17 · Apr 26, 2023

1.0 In 9 of 49 releases 3.23

Description

Collection of various measures and tools for lncRNA annotation prediction put inside a redistributable R package. The package contains two main algorithms; lncRNA2GOA and TopoICSim. lncRNA2GOA tries to annotate novel genes (in this specific case lncRNAs) by using various correlation/geometric scoring methods on correlated expression data. After correlating/scoring, the results are annotated and enriched. TopoICSim is a topologically based method, that compares gene similarity based on the topology of the GO DAG by information content (IC) between GO terms.

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GAPGOM")
Ehsani, R., Drabløs, F., & van Mourik, C. (2023). GAPGOM: GAPGOM (novel Gene Annotation Prediction and other GO Metrics) (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/GAPGOM

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GAPGOM version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy