GAPGOM-an R package for gene annotation prediction using GO Metrics.OBJECTIVE
 GAPGOM integrates two relevant algorithms, lncRNA2GOA and TopoICSim, into a user-friendly R package. 
GAPGOM
GAPGOM-an R package for gene annotation prediction using GO Metrics.OBJECTIVE
 GAPGOM integrates two relevant algorithms, lncRNA2GOA and TopoICSim, into a user-friendly R package. 
R package
GAPGOM-an R package for gene annotation prediction using GO Metrics.OBJECTIVE

GO Metrics
GAPGOM integrates two relevant algorithms, lncRNA2GOA and TopoICSim, into a user-friendly R package.  Here lncRNA2GOA does annotation prediction by co-expression, whereas TopoICSim estimates similarity between GO graphs, which can be used for benchmarking of prediction performance, but also for comparison of GO graphs in general. 
lncRNA2GOA
GAPGOM integrates two relevant algorithms, lncRNA2GOA and TopoICSim, into a user-friendly R package.  Here lncRNA2GOA does annotation prediction by co-expression, whereas TopoICSim estimates similarity between GO graphs, which can be used for benchmarking of prediction performance, but also for comparison of GO graphs in general. 
TopoICSim