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.
|Author||Rezvan Ehsani [aut, cre], Casper van Mourik [aut], Finn Drabløs [aut]|
|Bioconductor views||GO GeneExpression GenePrediction|
|Maintainer||Rezvan Ehsani <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.