Description Usage Arguments Value Author(s) References See Also Examples
Gather informations about direct interactions between genes and metabolites inside a pathway, and about pathways themselves. These informations are direct interactions between these two elements and number of relations between an element from the list provided by the user and other elements of the pathway (centrality). Direct interactions extraction was performed using BioPax, KGML and GPML files parsed with PaxtoolsR, graphite and author's parsers.
1 |
listk |
Output from |
listr |
Output from |
listw |
Output from |
A list containing :
size |
Dataframe containing pathways, genes and metabolites in pathways (from the list or not), and number of elements in pathways |
pathtot |
Dataframe containing pathways names and ids from pathway enrichment analysis on Reactome, Kegg and Wikipathways pathways |
tagged |
Dataframe containing direct interactions between elements from the user's list per pathways |
keggchebiname |
Dataframe containing all human metabolites ids (kegg and chebi) and names |
central |
List of pathways, each pathway containing the number of direct interactions between an element of user's list and other elements in the pathway |
no_path |
Dataframe containing direct interactions between elements from the user's list, but not per pathways |
genes |
User's genes given in |
meta |
User's metabolites given in |
This list is used by compl_data
function.
Emilie Secherre emisecherre@gmail.com
Luna, A., Babur, O., Aksoy, A. B, Demir, E., Sander, C. (2015).<e2><80><9c>PaxtoolsR: Pathway Analysis in R Using Pathway Commons.<e2><80><9d> Bioinformatics.
Sales G, Calura E, Cavalieri D, Romualdi C (2012). <e2><80><9c>graphite - a Bioconductor package to convert pathway topology to gene network.<e2><80><9d> BMC Bioinformatics. https://bmcbioinformatics.biomedcentral.com/articles/10 . 1186/1471-2105-13-20.
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