rankPathways: Summarizes Top Pathways from Pathway Analyses

Description Usage Arguments Details Value Note Author(s) References

View source: R/rankPathways.R

Description

Summarizes top pathways from pathway analyses.

Usage

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rankPathways(res.A, res.B, G, tab, phenotype, gsList, ngroups,
             methodNames = NULL, npath = 25, allpathways = FALSE)

Arguments

res.A

a list from the output of calculate.NTk or calculate.NEk

res.B

a list from the output of calculate.NTk or calculate.NEk

G

a list containing the source, title, and probe sets associated with each curated pathway

tab

a numeric matrix of expression values, with the rows and columns representing probe sets and sample arrays, respectively

phenotype

a numeric (or character if ngroups >= 2) vector indicating the phenotype

gsList

a list containing three vectors from the output of the selectGeneSets function

ngroups

an integer indicating the number of groups in the matrix

methodNames

a character vector of length 2 giving the names for res.A and res.B

npath

an integer indicating the number of top gene sets to consider from each statistic when ranking the top pathways

allpathways

a boolean to indicate whether to include the top npath pathways from each statistic or just consider the top npath pathways (sorted by the sum of ranks of both statistics) when generating the summary table

Details

This function ranks together the statistics given in res.A and res.B and summarizes the top gene sets in a tabular format similar to Table 2 in Tian et al. (2005)

Value

A data frame showing the pathways' indices in G, gene set category, pathway title, set size, res.A's statistics, res.B's statistics, the corresponding q-values, and the ranks for the top gene sets.

Note

See the help page for calculate.NTk or calculate.NEk for example code that uses rankPathways

Author(s)

Lu Tian, Peter Park, and Weil Lai

References

Tian L., Greenberg S.A., Kong S.W., Altschuler J., Kohane I.S., Park P.J. (2005) Discovering statistically significant pathways in expression profiling studies. Proceedings of the National Academy of Sciences of the USA, 102, 13544-9.

http://www.pnas.org/cgi/doi/10.1073/pnas.0506577102


sigPathway documentation built on Nov. 8, 2020, 5:35 p.m.