FGNet (version 3.6.2)

FGNet_report: FGNet report

Description

Generates an HTML report with several views of the Functional Network and complementary analyses.

Usage

FGNet_report(feaResults, geneExpr = NULL, plotExpression = "border", 
onlyGoLeaves = TRUE, plotGoTree = TRUE, plotKeggPw = TRUE, 
filterAttribute = NULL, filterOperator = NULL, filterThreshold = NULL)

Arguments

feaResults

list or data.frame/matrix. Output from one of the FEA functions.

geneExpr

numeric. Named vector with the relative expression value of the gene (node). 0 is taken as reference, positive values will be plotted red, negative values green.

plotExpression

character. Determines the way to plot the expression: "border" adds a red or green border to the node, "fill" colors the whole with the expression color instead of the metagroup color.

onlyGoLeaves

logical. If TRUE only terminal GO terms (leaves in the ontology tree) will be included in the cluster list.

plotGoTree

logical. If TRUE plots containing the terms in their position within the GO ontology (tree) will be generated.

plotKeggPw

logical. If TRUE local plot for KEGG pathway terms will be generated. If FALSE KEGG pathway terms will link to KEGG website. In the current version local plots are only available for ENTREZ gene IDs.

filterAttribute

character or data.frame. Attribute to filter the clusters/metagroups. Filtered clusters/metagroups will not be included in the matrices (and subsequent networks). Its value should be the data.frame column to use for filtering. It can be provided as character (column name) or data.frame (subset of the data.frame with drop=FALSE).

filterOperator

character. Logical operator used for filtering. i.e. ">" (bigger than), "<=" (smaller="" or="" equal="" than),="" "="="" (equal),="" "!=" (different), " %%"="" (included="" in),...="" the="" evaluation="" order="" is="" left="" to="" right:="" filterattribute="">" filterThreshold, will filter out clusters with filter attribute bigger than the threshold.

filterThreshold

numeric. Sets the value to compare to.

Value

Generates the HTML report in the current directory.

Warning

Reactome ID change depending on the database version. Links to reactome website are created to ease the analysis, but in case the version used for the enrichment and the website's do not match, broken links or misleading links might appear.

See Also

Functional enrichment analysis functions:

• fea_david() (Requires internet connection)
• fea_gtLinker() & fea_gtLinker_getResults() (Requires internet connection)
• fea_gage()
• fea_topGO() To import results from a previous/external FEA analysis: format_david(), format_results() and readGeneTermSets().

Overview of the package: FGNet

Package tutorial: vignette("FGNet-vignette")

Examples

## Not run: 
# 
# # Report with diferent tools:
# 
# ##########################
# # DAVID & TopGO
# geneList <- c("YBL084C", "YDL008W", "YDR118W", "YDR301W", "YDR448W", "YFR036W", 
#     "YGL240W", "YHR166C", "YKL022C", "YLR102C", "YLR115W", "YLR127C", "YNL172W", 
#     "YOL149W", "YOR249C")
# geneExpr <- setNames(c(rep(1,10),rep(-1,5)), geneList) 
# 
# library(org.Sc.sgd.db)
# geneLabels <- unlist(as.list(org.Sc.sgdGENENAME)[geneList])
# names(geneExpr) <- geneLabels[names(geneExpr)] 
# 
# # DAVID
# results_David <- fea_david(geneList, geneLabels=geneLabels, email="[e-mail]")
# FGNet_report(results_David, geneExpr=geneExpr) 
# 
# # TopGO
# results_topGO <- fea_topGO(geneList, geneIdType="ENSEMBL", 
#     geneLabels=geneLabels, organism="Sc") 
# FGNet_report(results_topGO, geneExpr=geneExpr)   
# 
# ##########################
# # Gage
# library(gage); data(gse16873)
# results_gage <- fea_gage(eset=gse16873, 
#     refSamples=grep('HN',colnames(gse16873), ignore.case =T), 
#     compSamples=grep('DCIS',colnames(gse16873), ignore.case=T), 
#     geneIdType="ENTREZID", organism="Hs", annotations="REACTOME")
# FGNet_report(results_gage)
# 
# ##########################
# # Gene-Term Linker: 
# 
# # Execute new query:
# genesYeast <- c("ADA2", "APC1", "APC11", "APC2", "APC4", "APC5", "APC9", 
#      "CDC16", "CDC23", "CDC26", "CDC27", "CFT1", "CFT2", "DCP1", "DOC1", "FIP1", 
#      "GCN5", "GLC7", "HFI1", "KEM1", "LSM1", "LSM2", "LSM3", "LSM4", "LSM5", 
#      "LSM6", "LSM7", "LSM8", "MPE1", "NGG1", "PAP1", "PAT1", "PFS2", "PTA1", 
#      "PTI1", "REF2", "RNA14", "RPN1", "RPN10", "RPN11", "RPN13", "RPN2", "RPN3", 
#      "RPN5", "RPN6", "RPN8", "RPT1", "RPT3", "RPT6", "SGF11", "SGF29", "SGF73", 
#      "SPT20", "SPT3", "SPT7", "SPT8", "TRA1", "YSH1", "YTH1")
# # Optional expression (1=UP, -1=DW):
# genesYeastExpr <- setNames(c(rep(1,29), rep(-1,30)), genesYeast)
# 
# 
# jobID <- fea_gtLinker(geneList=genesYeast,organism="Sc")
# 
# # Load existing query:
# jobID <- 3907019
# 
# results_gtLinker <- fea_gtLinker_getResults(jobID=jobID)
# FGNet_report(results_gtLinker, geneExpr=genesYeastExpr)
# 
# 
# ## End(Not run)