Rcpi (version 1.8.0)

calcParProtGOSim: Protein Sequence Similarity Calculation based on Gene Ontology (GO) Similarity

Description

Protein Sequence Similarity Calculation based on Gene Ontology (GO) Similarity

Usage

calcParProtGOSim(golist, type = c("go", "gene"), ont = "MF", organism = "human", measure = "Resnik", combine = "BMA")

Arguments

golist

A character vector, each component contains a character vector of GO terms or one Entrez Gene ID.

type

Input type of golist, 'go' for GO Terms, 'gene' for gene ID.

ont

Default is 'MF', could be one of 'MF', 'BP', or 'CC' subontologies.

organism

Default is 'human', could be one of 'anopheles', 'arabidopsis', 'bovine', 'canine', 'chicken', 'chimp', 'coelicolor', 'ecolik12', 'ecsakai', 'fly', 'human', 'malaria', 'mouse', 'pig', 'rat', 'rhesus', 'worm', 'xenopus', 'yeast' or 'zebrafish'.

measure

Default is 'Resnik', could be one of 'Resnik', 'Lin', 'Rel', 'Jiang' or 'Wang'.

combine

Default is 'BMA', could be one of 'max', 'average', 'rcmax' or 'BMA' for combining semantic similarity scores of multiple GO terms associated with protein.

Value

A n x n similarity matrix.

Details

This function calculates protein sequence similarity based on Gene Ontology (GO) similarity.

See Also

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.

Examples

# 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)