Description Usage Arguments Value NOTE Author(s) See Also Examples
Descriptive statistics on intergenic distance data
1 2 3 4 5 6 7  | 
GeneSetDistances | 
 A   | 
confLevel | 
 Confidence level between 0 and 1.  | 
nboot | 
 Integer (Default to 1e4). Number of bootstrap samples.  | 
CItype | 
 Type of confidence interval ("bca" or "perc").  | 
ncores | 
 Number of cores to use for boostrap.  | 
A tibble with the following columns:
GeneSet. Name of the gene set.
Side. Upstream or Downstream.
Orientation. Orientation of the neighbor (SameStrand or OppositeStrand).
n. Number of observations.
Min. Minimum distance.
Q1. First quartile.
Median.
Median_LowerCI. Lower bound of the median bootstrap confidence interval.
Median_UpperCI. Upper bound of the median bootstrap confidence interval.
Mean.
Mean_LowerCI. Lower bound of the mean bootstrap confidence interval.
Mean_UpperCI. Upper bound of the mean bootstrap confidence interval.
Q3. Third quartile.
Max. Maximum distance.
SD. Standard deviation.
SEM. Standard Error of the Mean.
When nboot is too small and CItype=="bca", the following error can occur: "estimated adjustment 'a' is NA" In this case, use CItype="perc" and/or increase nboot. Using nboot >= 1e4 (the default) is always recommended.
Pascal GP Martin
1 2 3 4 5 6 7 8 9 10 11 12 13  | ## Obtain gene neighborhood information:
  GeneNeighbors <- getGeneNeighborhood(Genegr)
## Get a (random) set of (100) genes:
  set.seed(123)
  randGenes <- sample(names(Genegr), 100)
## Extract distances for this set of genes and for all genes :
 myGeneSets <- list("RandomGenes" = randGenes,
                    "AllGenes" = GeneNeighbors$GeneName)
 distForGeneSets <- dist2Neighbors(GeneNeighbors,
                                   myGeneSets)
## Obtain descriptive statistics for these sets of genes:
distStats(distForGeneSets,
          nboot = 1e3, CItype = "perc", ncores = 1)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.