FGNet (version 3.0.7)

keywordsTerm: Select keyword term

Description

Selects a term as the most representative of the terms in the cluster based on keywords.

Usage

keywordsTerm(termsDescriptions, nChar = 30)

Arguments

termsDescriptions

List with the terms in each cluster. Output from getTerms.

nChar

numeric. Maximum number of chars to show in the term. If the selected term is longer, it will be trimmed.

Value

Character vector with the term selected for each cluster.

See Also

Overview of the package: FGNet

Package tutorial: vignette("FGNet-vignette")

Examples

# Previous Steps
genesYeast <- c("YBL084C", "YDL008W", "YDR118W", "YDR301W", "YDR448W", "YFR036W", 
    "YGL240W", "YHR166C", "YKL022C", "YLR102C", "YLR115W", "YLR127C", "YNL172W", 
    "YOL149W", "YOR249C")
results <- fea_david(genesYeast) # email=[e-mail]

# Select keywords
keywordsTerm(getTerms(results), nChar=100)