Dear authors,
I am trying to calculate semantic similarity between some GO terms based on the information content methods.
# GO.db retrieved by 2020-09-10, Bioconductor version 3.12
atGO<-godata('org.At.tair.db', keytype="TAIR",ont="BP")
goSim("GO:0120254", "GO:0120255", semData=atGO, measure="Jiang") # NA
The value returns NA as these GO terms are not directly annotated for Arabidopsis. However, their descendant terms were actually annotated to some genes in the database (GO.db retrieved by 2020-09-10, Bioconductor version 3.12):
length(GOBPOFFSPRING[["GO:0120254"]] %in% keys(org.At.tair.db,"GO")) # 196
length(GOBPOFFSPRING[["GO:0120255"]] %in% keys(org.At.tair.db,"GO")) # 97
and thus their IC values were actually feasible for calculation. Do you think it is possible to include such GO terms in the current IC & goSim() calculation?
Thank you very much.
Dear authors,
I am trying to calculate semantic similarity between some GO terms based on the information content methods.
The value returns NA as these GO terms are not directly annotated for Arabidopsis. However, their descendant terms were actually annotated to some genes in the database (GO.db retrieved by 2020-09-10, Bioconductor version 3.12):
and thus their IC values were actually feasible for calculation. Do you think it is possible to include such GO terms in the current IC & goSim() calculation?
Thank you very much.