identifyLncGraphW: Annotate and identify subpathways

In SubpathwayLNCE: Identify Signal Subpathways Competitively Regulated by LncRNAs Based on ceRNA Theory

Description

Annotate user-interested molecules to pathways and identify significantly enriched subpathways.

Usage

  identifyLncGraphW(moleculeList,graphList,type="gene_lncRNA",
             background=getBackgroundLnc(type),
             order="pvalue",decreasing=FALSE,bet=1)

Arguments

moleculeList	A character vector. Such as user-interested lncRNAs and/or genes under disease phenotypes.
graphList	A graph list. There nodes must be represented by genes or lncRNAs and genes.
type	A character string. Should be one of "gene", "lncRNA" or "gene_lncRNA".
background	A character vector of molecules.
order	A character string. Should be one of "pvalue", "fdr".
decreasing	A logical. Should the sort be ordered by increasing or decreasing?
bet	A number. A parameter.

Details

The function can support the annotation and identification of metabolic subpathways based on genes, lncRNAs or gene_lncRNAs sets. The argument moleculeList supports three kinds of molecular sets: "genes", "lncRNAs" or "gene_lncRNAs".

The argument type represent the type of input molecules, including one of "genes", "lncRNAs" or "gene_lncRNA".

Detailed background information is provided in the function getBackgroundLnc.

When many correlated subpathways are considered, the parameter order is used to order the pathways on the basis of "pvalue" or "fdr".

The parameter decreasing is set TRUE that represent the order would be performed by decreasing.

Value

A list. It include: 'pathwayId', 'pathwayName', 'annMoleculeList', 'annMoleculeNumber', 'annBgMoleculeList', 'annBgNumber', 'MoleculeNumber', 'bgNumber','annWeight', 'pvalue', and 'fdr', corresponding to pathway identifier, pathway name, the submitted molecules annotated to a pathway, the number of submitted molecules annotated to a pathway, the background molecules annotated to a pathway, the number of background molecules annotated to a pathway, the number of submitted molecules, the number of background molecules, the weight of lncRNA competitively regulated subpathway p-value of the hypergeometric test, and Benjamini-Hochberg fdr values.

The background molecules annotated to a pathway are equal to all molecules in the pathway. For example, if the submitted molecules are human genes, the background molecules annotated to a pathway are equal to all human genes in the pathway.

The number of background molecules is the number of all molecules. For example, if the submitted molecules are human genes, the number of background molecules is equal to all human genes.

To visualize and save the results, the list can be converted to the data.frame by the function printGraphW.

Note that moleculeList must be a 'character' vector. The genes must be represented by NCBI gene ids, and lncRNAs must be represented by mature lncRNA Ensemble name.

Author(s)

Xinrui Shi, Chunquan Li and Xia Li

See Also

printGraphW, getBackgroundLnc, GetExampleData

Examples

## Not run: 

### Integrate lncRNAs of competitive regulation into KEGG pathway graphs ###
  #LncGenePairs<-GetExampleData(exampleData="LncGenePairs")
  #inteUMGraph<-getInteUMGraph(LncGenePairs)
### get user-interested lncRNAs and genes sets.
  geneLnc<-GetExampleData(exampleData="geneLnc")
# get locate subpathways.
  #sub<-getLocSubGraphLnc(geneLnc,interUMGraph,type="gene_lncRNA",n=1,s=8)
   sub<-GetExampleData(exampleData="sub")
  SubcodeLncResult<-identifyLncGraphW(geneLnc,sub,type="gene_lncRNA",bet=1)

## End(Not run)

SubpathwayLNCE documentation built on May 1, 2019, 10:25 p.m.