normalizeToMatrix.rdNormalize Associations between Genomic Signals and Target Regions into a Matrix
normalizeToMatrix(signal, target, extend = 5000, w = max(extend)/100,
value_column = NULL, mapping_column = NULL, background = ifelse(smooth, NA, 0),
empty_value = NULL, mean_mode = c("absolute", "weighted", "w0", "coverage"),
include_target = any(width(target) > 1),
target_ratio = min(c(0.4, mean(width(target))/(sum(extend) + mean(width(target))))),
k = min(c(20, min(width(target)))), smooth = FALSE, smooth_fun = default_smooth_fun,
keep = c(0, 1), limit = NULL, trim = NULL, flip_upstream = FALSE, verbose = TRUE)A GRanges-class object.
A GRanges-class object.
Extended base pairs to the upstream and/or downstream of target. It can be a vector of length one or two. Length one means same extension to the upstream and downstream.
Window size for splitting upstream and downstream, measured in base pairs
Column index in signal that is mapped to colors. If it is not set, it assumes values for all signal regions are 1.
Mapping column to restrict overlapping between signal and target. By default it tries to look for all regions in signal that overlap with every target.
Values for windows that don't overlap with signal.
Deprecated, please use background instead.
When a window is not perfectly overlapped to signal, how to summarize values to the window. See 'Details' section for a detailed explanation.
Whether include target in the heatmap? If the width of all regions in target is 1, include_target is enforced to FALSE.
The ratio of target columns in the normalized matrix. If the value is 1, extend will be reset to 0.
Number of windows only when target_ratio = 1 or extend == 0, otherwise ignored.
Whether apply smoothing on rows in the matrix?
The smoothing function that is applied to each row in the matrix. This self-defined function accepts a numeric vector (may contain NA values) and returns a vector with same length. If the smoothing is failed, the function should call stop to throw errors so that normalizeToMatrix can catch how many rows are failed in smoothing. See the default default_smooth_fun for example.
Percentiles in the normalized matrix to keep. The value is a vector of two percent values. Values less than the first percentile is replaces with the first pencentile and values larger than the second percentile is replaced with the second percentile.
Similar as keep, but it provides boundary for absolute values. The value should be a vector of length two.
Deprecated, please use keep instead.
Sometimes whether the signals are on the upstream or the downstream of the targets are not important and users only want to show the relative distance to targets. If the value is set to TRUE, the upstream part in the normalized matrix is flipped and added to the downstream part The flipping is only allowed when the targets are single-point targets or the targets are excluded in the normalized matrix (by setting include_target = FALSE). If the extension for the upstream and downstream is not equal, the smaller extension is used for the final matrix.
Whether to print help messages.
In order to visualize associations between signal and target, the data is transformed into a matrix
and visualized as a heatmap by EnrichedHeatmap afterwards.
Upstream and downstream also with the target body are splitted into a list of small windows and overlap
to signal. Since regions in signal and small windows do not always 100 percent overlap, there are four different averaging modes:
Following illustrates different settings for mean_mode (note there is one signal region overlapping with other signals):
40 50 20 values in signal regions
++++++ +++ +++++ signal regions
30 values in signal region
++++++ signal region
================= a window (17bp), there are 4bp not overlapping to any signal regions.
4 6 3 3 overlap
absolute: (40 + 30 + 50 + 20)/4
weighted: (40*4 + 30*6 + 50*3 + 20*3)/(4 + 6 + 3 + 3)
w0: (40*4 + 30*6 + 50*3 + 20*3)/(4 + 6 + 3 + 3 + 4)
coverage: (40*4 + 30*6 + 50*3 + 20*3)/17 A matrix with following additional attributes:
upstream_indexcolumn index corresponding to upstream of target
target_indexcolumn index corresponding to target
downstream_indexcolumn index corresponding to downstream of target
extendextension on upstream and downstream
smoothwhether smoothing was applied on the matrix
failed_rowsindex of rows which are failed after smoothing
The matrix is wrapped into a simple normalizeToMatrix class.
signal = GRanges(seqnames = "chr1",
ranges = IRanges(start = c(1, 4, 7, 11, 14, 17, 21, 24, 27),
end = c(2, 5, 8, 12, 15, 18, 22, 25, 28)),
score = c(1, 2, 3, 1, 2, 3, 1, 2, 3))
target = GRanges(seqnames = "chr1", ranges = IRanges(start = 10, end = 20))
normalizeToMatrix(signal, target, extend = 10, w = 2)
#> Normalize signal to target:
#> Upstream 10 bp (5 windows)
#> Downstream 10 bp (5 windows)
#> Include target regions (6 windows)
#> 1 target region
normalizeToMatrix(signal, target, extend = 10, w = 2, include_target = TRUE)
#> Normalize signal to target:
#> Upstream 10 bp (5 windows)
#> Downstream 10 bp (5 windows)
#> Include target regions (6 windows)
#> 1 target region
normalizeToMatrix(signal, target, extend = 10, w = 2, value_column = "score")
#> Normalize signal to target:
#> Upstream 10 bp (5 windows)
#> Downstream 10 bp (5 windows)
#> Include target regions (6 windows)
#> 1 target region