In charles-plessy/CAGEr: Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining

Purpose

There is no native rowsum function for DataFrames of Rle-encoded numerical values. What is the best strategy for an implementation ?

Setup

library("CAGEr")   |> suppressPackageStartupMessages()
library("ggplot2") |> suppressPackageStartupMessages()

The DataFrame encodes counts of CAGE tags mapped on the zebrafish genome.

# (DF <- CTSStagCountDF(exampleCAGEexp))
# DF[[1]]
# 
# (names <- CTSScoordinatesGR(exampleCAGEexp)$cluster)

(DF <- ZebrafishDevelopmentalCAGE::ZebrafishCAGE |> assay())
DF[[1]]
# Artificial example.
(names <- rep(CTSScoordinatesGR(exampleCAGEexp)$cluster, 711)[1:nrow(DF)])

The functions:

.rowsumDelayedArrayAsMatrix <- function(x, group, reorder = TRUE)
  rowsum(
    as.matrix(DelayedArray::DelayedArray(x)),
    group,
    reorder = reorder) |> DataFrame()
.rowsumDelayedArrayAsMatrix(DF, decode(names), reorder = FALSE) |> head()

.rowsumDelayedArrayAsdataframe <- function(x, group, reorder = TRUE)
  rowsum(
    as.data.frame(DelayedArray::DelayedArray(x)),
    group,
    reorder = reorder) |> DataFrame()
.rowsumDelayedArrayAsdataframe(DF, decode(names), reorder = FALSE) |> head()

.rowsumDecodeAsDF <- function(x, group, reorder = TRUE)
  rowsum(
    as.data.frame(lapply(x, decode)),
    group,
    reorder = reorder) |> DataFrame()
.rowsumDecodeAsDF(DF, decode(names), reorder = FALSE) |> head()

# https://support.bioconductor.org/p/99960/#100034
.rowsum.splitAsList <- function(x, group, reorder=TRUE, ...)
    lapply(x, function(col) sum(splitAsList(col, group))) |> DataFrame()
.rowsum.splitAsList(DF, decode(names), reorder = FALSE) |> head()

.rowsum.decodeSplitAsList <- function(x, group, reorder=TRUE, ...)
    lapply(lapply(x, decode), function(col) sum(splitAsList(col, group))) |> DataFrame()
.rowsum.decodeSplitAsList(DF, decode(names), reorder = FALSE) |> head()

# This one I thought about after asking ChatGPT for a splitAsList alternative
.rowsum.splitAndColSums <- function(x, group, reorder=TRUE, ...) {
  l <- split(x, group)
  ll <- lapply(l, \(l) sapply(l, sum))
  do.call(rbind, ll) |> DataFrame()
}
.rowsum.splitAndColSums(DF, decode(names), reorder = FALSE) |> head()
.rowsum.splitAndColSums(endoapply(DF, decode), decode(names), reorder = FALSE) |> head()

Benchmark

(microbench_out <- microbenchmark::microbenchmark(
  times = 100,
  .rowsumDelayedArrayAsMatrix = .rowsumDelayedArrayAsMatrix(DF, decode(names), reorder = FALSE),
  .rowsumDelayedArrayAsdataframe = .rowsumDelayedArrayAsdataframe(DF, decode(names), reorder = FALSE),
  .rowsumDecodeAsDF = .rowsumDecodeAsDF(DF, decode(names), reorder = FALSE),
  .rowsum.splitAsList = .rowsum.splitAsList(DF, decode(names), reorder = FALSE),
  .rowsum.decodeSplitAsList = .rowsum.decodeSplitAsList(DF, decode(names), reorder = FALSE) #,
  # Interesting, # .rowsum.splitAndColSums = .rowsum.splitAndColSums(DF, decode(names), reorder = FALSE),
  # but too slow # .rowsum.DecodeSplitAndColSums = .rowsum.splitAndColSums(endoapply(DF, decode), decode(names), reorder = FALSE)
))
# https://statisticsglobe.com/microbenchmark-package-r
ggplot(microbench_out, aes(x = time / 1e9, y = expr, color = expr)) +  # Plot performance comparison
  geom_boxplot() + 
  scale_x_log10("time (seconds)")

Result

The winner is:

.rowsumDecodeAsDF <- function(x, group, reorder = TRUE)
  rowsum(
    as.data.frame(lapply(x, decode)),
    group,
    reorder = reorder) |> DataFrame()

Needless to say, the reorder argument needs to be implemented with care.

Session information

sessionInfo()

ChatGPT

Charles Plessy 7:52 PM

Good evening ChatGPT, can you tell me an alternative to the Bioconductor function splitAsList ?

Sidekick APP 7:52 PM

An alternative to the splitAsList function from Bioconductor in R could be the combination of the split and as.list functions from base R. Here's an example:

r
# Assuming 'df' is your data frame and 'group' is the column you want to split by
split_list = as.list(split(df, df$group))

This will give you a list of data frames, split by the 'group' column, similar to what splitAsList would do.

charles-plessy/CAGEr documentation built on Oct. 27, 2024, 10:11 p.m.