Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/903-calcProtGOSim.R
Protein Sequence Similarity Calculation based on Gene Ontology (GO) Similarity
1 2 | calcParProtGOSim(golist, type = c("go", "gene"), ont = "MF",
organism = "human", measure = "Resnik", combine = "BMA")
|
golist |
A character vector, each component contains a character vector of GO terms or one Entrez Gene ID. |
type |
Input type of |
ont |
Default is |
organism |
Default is |
measure |
Default is |
combine |
Default is |
This function calculates protein sequence similarity based on Gene Ontology (GO) similarity.
A n
x n
similarity matrix.
Min-feng Zhu <wind2zhu@163.com>, Nan Xiao <http://r2s.name>
See calcTwoProtGOSim
for calculating the
GO semantic similarity between two groups of GO terms or two Entrez gene IDs.
See calcParProtSeqSim
for paralleled protein similarity
calculation based on sequence alignment.
1 2 3 4 5 6 7 8 9 10 11 12 | # by GO Terms
go1 = c('GO:0005215', 'GO:0005488', 'GO:0005515', 'GO:0005625', 'GO:0005802', 'GO:0005905') # AP4B1
go2 = c('GO:0005515', 'GO:0005634', 'GO:0005681', 'GO:0008380', 'GO:0031202') # BCAS2
go3 = c('GO:0003735', 'GO:0005622', 'GO:0005840', 'GO:0006412') # PDE4DIP
glist = list(go1, go2, go3)
gsimmat1 = calcParProtGOSim(glist, type = 'go', ont = 'CC')
print(gsimmat1)
# by Entrez gene id
genelist = list(c('150', '151', '152', '1814', '1815', '1816'))
gsimmat2 = calcParProtGOSim(genelist, type = 'gene')
print(gsimmat2)
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