sorenThreshold: For a given level (2, 3, ...) in a GO ontology (BP, MF or...

In pablof1988/goSorensen: Statistical inference based on the Sorensen-Dice dissimilarity and the Gene Ontology (GO)

For a given level (2, 3, ...) in a GO ontology (BP, MF or CC), compute the equivalence threshold dissimilarity matrix.

Description

For a given level (2, 3, ...) in a GO ontology (BP, MF or CC), compute the equivalence threshold dissimilarity matrix.

Usage

sorenThreshold(x, ...)

## S3 method for class 'list'
sorenThreshold(
  x,
  onto,
  GOLevel,
  geneUniverse,
  orgPackg,
  boot = FALSE,
  nboot = 10000,
  boot.seed = 6551,
  trace = TRUE,
  alpha = 0.05,
  precis = 0.001,
  ...
)

## S3 method for class 'tableList'
sorenThreshold(
  x,
  boot = FALSE,
  nboot = 10000,
  boot.seed = 6551,
  trace = TRUE,
  alpha = 0.05,
  precis = 0.001,
  ...
)

Arguments

x	either an object of class "list" or class "tableList". See the details section for more information.
...	additional arguments to buildEnrichTable
onto	character, GO ontology ("BP", "MF" or "CC") under consideration
GOLevel	integer (2, 3, ...) level of a GO ontology where the GO profiles are built
geneUniverse	character vector containing all genes from where geneLists have been extracted
orgPackg	a string with the name of the annotation package
boot	boolean. If TRUE, the p-values are computed by means of a bootstrap approach instead of the asymptotic normal approach. Defaults to FALSE.
nboot	numeric, number of initially planned bootstrap replicates. Ignored if boot == FALSE. Defaults to 10000
boot.seed	starting random seed for all bootstrap iterations. Defaults to 6551. see the details section
trace	boolean, the full process must be traced? Defaults to TRUE
alpha	simultaneous nominal significance level for the equivalence tests to be repeteadly performed, defaults to 0.05
precis	numerical precision in the iterative search of the equivalence threshold dissimilarities, defaults to 0.001

Details

If x is an object of class "list", each of its elements must be a "character" vector of gene identifiers. Then all pairwise threshold dissimilarities between these gene lists are obtained.

Class "tableList" corresponds to objects representing all mutual enrichment contingency tables generated in a pairwise fashion: Given gene lists l1, l2, ..., lk, an object of class "tableList" (typically constructed by a call to function buildEnrichTable) is a list of lists of contingency tables tij generated from each pair of gene lists i and j, with the following structure:

$l2

$l2$l1$t21

$l3

$l3$l1$t31, $l3$l2$t32

...

$lk$l1$tk1, $lk$l2$tk2, ..., $lk$l(k-1)tk(k-1)

If x is an object of class "tableList", the threshold dissimilarity is obtained over each one of these tables.

If boot == TRUE, all series of nboot bootstrap replicates start from the same random seed, provided by the argument boot.seed, except if boot == NULL.

Do not confuse the resulting threshold dissimilarity matrix with the Sorensen-Dice dissimilarities computed in each equivalence test.

The dimension of the resulting matrix may be less than the number of original gene lists being compared, as the process may not converge for some pairs of gene lists.

Value

An object of class "dist", the equivalence threshold dissimilarity matrix based on the Sorensen-Dice dissimilarity.

Methods (by class)

• sorenThreshold(list): S3 method for class "list"

• sorenThreshold(tableList): S3 method for class "tableList"

Examples

# Gene lists to be explored for enrichment:
data(allOncoGeneLists)
# Gene universe:
data(humanEntrezIDs)
# # This example is quite time consuming:
# sorenThreshold(allOncoGeneLists,
#                geneUniverse = humanEntrezIDs, orgPackg = "org.Hs.eg.db")
# Much faster:
# Object \code{allTabsBP.4} of class "tableList" contains all the pairwise contingency
# tables of joint enrichment for the gene lists in \code{allOncoGeneLists}, for the BP
# GO ontology at level 4:
data("allTabsBP.4")
sorenThreshold(allTabsBP.4)

pablof1988/goSorensen documentation built on July 21, 2023, 8:38 a.m.