rba_string_enrichment_ppi | R Documentation |
Even when there is no annotation for your input proteins, STRING can Compare your Given proteins interactions pattern with the background proteome-wide interaction distribution to determine if your given set of proteins are functionally related.
rba_string_enrichment_ppi(
ids,
species = NULL,
required_score = NULL,
background = NULL,
...
)
ids |
Your protein ID(s). It is strongly recommended to supply
STRING IDs. See |
species |
Numeric: NCBI Taxonomy identifier; Human Taxonomy ID is 9606. (Recommended, but optional if your input is less than 100 IDs.) |
required_score |
Numeric: A minimum of interaction score for an interaction to be included in the image. if not supplied, the threshold will be applied by STRING Based in the network. (low Confidence = 150, Medium Confidence = 400, High Confidence = 700, Highest confidence = 900) |
background |
character vector: A set of STRING protein IDs
to be used as the background proteome. Only STRING IDs are acceptable.
(See |
... |
rbioapi option(s). See |
A list with protein-protein interaction enrichment results.
"POST https://string-db.org/api/{output_format}/ppi_enrichment?identifiers= {your_identifiers}&{optional_parameters}"
Damian Szklarczyk, Rebecca Kirsch, Mikaela Koutrouli, Katerina Nastou, Farrokh Mehryary, Radja Hachilif, Annika L Gable, Tao Fang, Nadezhda T Doncheva, Sampo Pyysalo, Peer Bork, Lars J Jensen, Christian von Mering, The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest, Nucleic Acids Research, Volume 51, Issue D1, 6 January 2023, Pages D638–D646, https://doi.org/10.1093/nar/gkac1000
rba_string_map_ids
Other "STRING":
rba_string_annotations()
,
rba_string_enrichment()
,
rba_string_enrichment_image()
,
rba_string_homology_inter()
,
rba_string_homology_intra()
,
rba_string_interaction_partners()
,
rba_string_interactions_network()
,
rba_string_map_ids()
,
rba_string_network_image()
,
rba_string_version()
rba_string_enrichment_ppi(ids = c("p53", "BRCA1", "cdk2", "Q99835",
"CDC42", "CDK1", "KIF23", "PLK1", "RAC2", "RACGAP1"),
species = 9606)
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