nearest-methods: Finding the nearest range neighbor

Description

The nearest, precede, follow, distance and distanceToNearest methods for Ranges objects and subclasses.

Usage

"nearest"(x, subject, select = c("arbitrary", "all"))
"precede"(x, subject, select = c("first", "all"))
"follow"(x, subject, select = c("last", "all"))
"distanceToNearest"(x, subject, select = c("arbitrary", "all"))
"distance"(x, y)

Arguments

The query Ranges instance.

subject

The subject Ranges instance, within which the nearest neighbors are found. Can be missing, in which case x is also the subject.

For the distance method, a Ranges instance. Cannot be missing. If x and y are not the same length, the shortest will be recycled to match the length of the longest.

select

Logic for handling ties. By default, all the methods select a single interval (arbitrary for nearest,the first by order in subject for precede, and the last for follow). To get all matchings, as a Hits object, use “all”.

...

Additional arguments for methods

Value

For nearest, precede and follow, an integer vector of indices in subject, or a Hits if select="all".For distanceToNearest, a Hits object with a column for the query index (queryHits), subject index (subjectHits) and distance between the pair.For distance, an integer vector of distances between the ranges in x and y.

Details

nearest: The conventional nearest neighbor finder. Returns a integer vector containing the index of the nearest neighbor range in subject for each range in x. If there is no nearest neighbor (if subject is empty), NA's are returned.
The algorithm is roughly as follows, for a range xi in x:
1. Find the ranges in subject that overlap xi. If a single range si in subject overlaps xi, si is returned as the nearest neighbor of xi. If there are multiple overlaps, one of the overlapping ranges is chosen arbitrarily.
2. If no ranges in subject overlap with xi, then the range in subject with the shortest distance from its end to the start xi or its start to the end of xi is returned.
precede: For each range in x, precede returns the index of the interval in subject that is directly preceded by the query range. Overlapping ranges are excluded. NA is returned when there are no qualifying ranges in subject.
follow: The opposite of precede, this function returns the index of the range in subject that a query range in x directly follows. Overlapping ranges are excluded. NA is returned when there are no qualifying ranges in subject.
distanceToNearest: Returns the distance for each range in x to its nearest neighbor in subject.
distance: Returns the distance for each range in x to the range in y.
The distance method differs from others documented on this page in that it is symmetric; y cannot be missing. If x and y are not the same length, the shortest will be recycled to match the length of the longest. The select argument is not available for distance because comparisons are made in a pair-wise fashion. The return value is the length of the longest of x and y.
The distance calculation changed in BioC 2.12 to accommodate zero-width ranges in a consistent and intuitive manner. The new distance can be explained by a block model where a range is represented by a series of blocks of size 1. Blocks are adjacent to each other and there is no gap between them. A visual representation of IRanges(4,7) would be
```
        +-----+-----+-----+-----+
           4     5     6     7
      
```
The distance between two consecutive blocks is 0L (prior to Bioconductor 2.12 it was 1L). The new distance calculation now returns the size of the gap between two ranges.
This change to distance affects the notion of overlaps in that we no longer say:
x and y overlap <=> distance(x, y) == 0
Instead we say
x and y overlap => distance(x, y) == 0
or
x and y overlap or are adjacent <=> distance(x, y) == 0

Examples

Run this code

  ## ------------------------------------------
  ## precede() and follow()
  ## ------------------------------------------
  query <- IRanges(c(1, 3, 9), c(3, 7, 10))
  subject <- IRanges(c(3, 2, 10), c(3, 13, 12))
 
  precede(query, subject)     # c(3L, 3L, NA)
  precede(IRanges(), subject) # integer()
  precede(query, IRanges())   # rep(NA_integer_, 3)
  precede(query)              # c(3L, 3L, NA)
 
  follow(query, subject)      # c(NA, NA, 1L)
  follow(IRanges(), subject)  # integer()
  follow(query, IRanges())    # rep(NA_integer_, 3)
  follow(query)               # c(NA, NA, 2L)

  ## ------------------------------------------
  ## nearest()
  ## ------------------------------------------
  query <- IRanges(c(1, 3, 9), c(2, 7, 10))
  subject <- IRanges(c(3, 5, 12), c(3, 6, 12))

  nearest(query, subject) # c(1L, 1L, 3L)
  nearest(query)          # c(2L, 1L, 2L)

  ## ------------------------------------------
  ## distance()
  ## ------------------------------------------
  ## adjacent
  distance(IRanges(1,5), IRanges(6,10)) # 0L
  ## overlap
  distance(IRanges(1,5), IRanges(3,7))  # 0L
  ## zero-width
  sapply(-3:3, function(i) distance(shift(IRanges(4,3), i), IRanges(4,3)))

Run the code above in your browser using DataLab