limma normexp background correction bug?
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Tobias Straub ▴ 430
@tobias-straub-2182
Last seen 10.2 years ago
hi i was playing around with various background correction methods using limma and discovered that whatever normexp.method i call for the "normexp" method, the result is exactly the same. in fact the more i digged into it the more i believe that normexp is not executed at all. looking at the code for backgroundCorrect it more looks like some junk of code has been lost. i also checked the latest dev version of limma (3.0.3), looks the same. instead of doing normexp the execution jumps into some "rma" kind of thing that just leaves me confused. any clues someone? any correct code around somewhere? best T. > backgroundCorrect function (RG, method = "subtract", offset = 0, printer = RG$printer, normexp.method = "saddle", verbose = TRUE) { if (!is.list(RG) && is.vector(RG)) RG <- as.matrix(RG) if (is.matrix(RG)) { method <- match.arg(method, c("none", "normexp", "saddle", "neldermean", "bfgs", "rma", "mcgee")) if (method == "normexp") method = "saddle" if (method != "none") { for (j in 1:ncol(RG)) { x <- RG[, j] out <- normexp.fit(x, method = normexp.method) RG[, j] <- normexp.signal(out$par, x) if (verbose) cat("Corrected array", j, "\n") } } if (offset) RG <- RG + offset return(RG) } if (is.null(RG$Rb) != is.null(RG$Gb)) stop("Background values exist for one channel but not the other") method <- match.arg(method, c("none", "subtract", "half", "minimum", "movingmin", "edwards", "normexp", "rma")) if (method == "rma") { method <- "normexp" normexp.method <- "rma" } normexp.method <- match.arg(normexp.method, c("mle", "saddle", "rma", "rma75", "mcgee")) if (is.null(RG$Rb) && is.null(RG$Gb)) method <- "none" switch(method, subtract = { RG$R <- RG$R - RG$Rb RG$G <- RG$G - RG$Gb }, half = { RG$R <- pmax(RG$R - RG$Rb, 0.5) RG$G <- pmax(RG$G - RG$Gb, 0.5) }, minimum = { RG$R <- as.matrix(RG$R - RG$Rb) RG$G <- as.matrix(RG$G - RG$Gb) for (slide in 1:ncol(RG$R)) { i <- RG$R[, slide] < 1e-18 if (any(i, na.rm = TRUE)) { m <- min(RG$R[!i, slide], na.rm = TRUE) RG$R[i, slide] <- m/2 } i <- RG$G[, slide] < 1e-18 if (any(i, na.rm = TRUE)) { m <- min(RG$G[!i, slide], na.rm = TRUE) RG$G[i, slide] <- m/2 } } }, movingmin = { RG$R <- RG$R - ma3x3.spottedarray(RG$Rb, printer = printer, FUN = min, na.rm = TRUE) RG$G <- RG$G - ma3x3.spottedarray(RG$Gb, printer = printer, FUN = min, na.rm = TRUE) }, edwards = { one <- matrix(1, NROW(RG$R), 1) delta.vec <- function(d, f = 0.1) { quantile(d, mean(d < 1e-16, na.rm = TRUE) * (1 + f), na.rm = TRUE) } sub <- as.matrix(RG$R - RG$Rb) delta <- one %*% apply(sub, 2, delta.vec) RG$R <- ifelse(sub < delta, delta * exp(1 - (RG$Rb + delta)/RG$R), sub) sub <- as.matrix(RG$G - RG$Gb) delta <- one %*% apply(sub, 2, delta.vec) RG$G <- ifelse(sub < delta, delta * exp(1 - (RG$Gb + delta)/RG$G), sub) }, normexp = , rma = { if (verbose) cat("Green channel\n") RG$G <- backgroundCorrect(RG$G - RG$Gb, method = method, verbose = verbose) if (verbose) cat("Red channel\n") RG$R <- backgroundCorrect(RG$R - RG$Rb, method = method, verbose = verbose) }) RG$Rb <- NULL RG$Gb <- NULL if (offset) { RG$R <- RG$R + offset RG$G <- RG$G + offset } new("RGList", unclass(RG)) } <environment: namespace:limma=""> > sessionInfo() R version 2.9.2 RC (2009-08-17 r49303) x86_64-apple-darwin9.7.0 locale: en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] vsn_3.12.0 Biobase_2.4.1 limma_2.18.3 loaded via a namespace (and not attached): [1] affy_1.22.1 affyio_1.12.0 grid_2.9.2 lattice_0.17-25 preprocessCore_1.6.0 > ---------------------------------------------------------------------- Dr. Tobias Straub ++4989218075439 Adolf-Butenandt-Institute, M?nchen D
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@james-w-macdonald-5106
Last seen 1 day ago
United States
Tobias Straub wrote: > hi > > i was playing around with various background correction methods using > limma and discovered that whatever normexp.method i call for the > "normexp" method, the result is exactly the same. in fact the more i > digged into it the more i believe that normexp is not executed at all. > > looking at the code for backgroundCorrect it more looks like some junk > of code has been lost. i also checked the latest dev version of limma > (3.0.3), looks the same. instead of doing normexp the execution jumps > into some "rma" kind of thing that just leaves me confused. You are getting confused because you miss the point that switch(x, foo = do.foo(), bar = do.bar(), foobar = , barfoo = do.barfoo(), ) means that if the argument is foobar _or_ barfoo, you do the same thing. So normexp *is* used, but it appears that if you pass in either method = "rma" or method = "normexp", you will always end up using method = "saddle" for normexp.fit(). Whether or not this is intentional or a bug is something only Gordon can decide. Best, Jim > > any clues someone? any correct code around somewhere? > > best > T. > > > > backgroundCorrect > function (RG, method = "subtract", offset = 0, printer = RG$printer, > normexp.method = "saddle", verbose = TRUE) > { > if (!is.list(RG) && is.vector(RG)) > RG <- as.matrix(RG) > if (is.matrix(RG)) { > method <- match.arg(method, c("none", "normexp", "saddle", > "neldermean", "bfgs", "rma", "mcgee")) > if (method == "normexp") > method = "saddle" > if (method != "none") { > for (j in 1:ncol(RG)) { > x <- RG[, j] > out <- normexp.fit(x, method = normexp.method) > RG[, j] <- normexp.signal(out$par, x) > if (verbose) > cat("Corrected array", j, "\n") > } > } > if (offset) > RG <- RG + offset > return(RG) > } > if (is.null(RG$Rb) != is.null(RG$Gb)) > stop("Background values exist for one channel but not the other") > method <- match.arg(method, c("none", "subtract", "half", > "minimum", "movingmin", "edwards", "normexp", "rma")) > if (method == "rma") { > method <- "normexp" > normexp.method <- "rma" > } > normexp.method <- match.arg(normexp.method, c("mle", "saddle", > "rma", "rma75", "mcgee")) > if (is.null(RG$Rb) && is.null(RG$Gb)) > method <- "none" > switch(method, subtract = { > RG$R <- RG$R - RG$Rb > RG$G <- RG$G - RG$Gb > }, half = { > RG$R <- pmax(RG$R - RG$Rb, 0.5) > RG$G <- pmax(RG$G - RG$Gb, 0.5) > }, minimum = { > RG$R <- as.matrix(RG$R - RG$Rb) > RG$G <- as.matrix(RG$G - RG$Gb) > for (slide in 1:ncol(RG$R)) { > i <- RG$R[, slide] < 1e-18 > if (any(i, na.rm = TRUE)) { > m <- min(RG$R[!i, slide], na.rm = TRUE) > RG$R[i, slide] <- m/2 > } > i <- RG$G[, slide] < 1e-18 > if (any(i, na.rm = TRUE)) { > m <- min(RG$G[!i, slide], na.rm = TRUE) > RG$G[i, slide] <- m/2 > } > } > }, movingmin = { > RG$R <- RG$R - ma3x3.spottedarray(RG$Rb, printer = printer, > FUN = min, na.rm = TRUE) > RG$G <- RG$G - ma3x3.spottedarray(RG$Gb, printer = printer, > FUN = min, na.rm = TRUE) > }, edwards = { > one <- matrix(1, NROW(RG$R), 1) > delta.vec <- function(d, f = 0.1) { > quantile(d, mean(d < 1e-16, na.rm = TRUE) * (1 + > f), na.rm = TRUE) > } > sub <- as.matrix(RG$R - RG$Rb) > delta <- one %*% apply(sub, 2, delta.vec) > RG$R <- ifelse(sub < delta, delta * exp(1 - (RG$Rb + > delta)/RG$R), sub) > sub <- as.matrix(RG$G - RG$Gb) > delta <- one %*% apply(sub, 2, delta.vec) > RG$G <- ifelse(sub < delta, delta * exp(1 - (RG$Gb + > delta)/RG$G), sub) > }, normexp = , rma = { > if (verbose) > cat("Green channel\n") > RG$G <- backgroundCorrect(RG$G - RG$Gb, method = method, > verbose = verbose) > if (verbose) > cat("Red channel\n") > RG$R <- backgroundCorrect(RG$R - RG$Rb, method = method, > verbose = verbose) > }) > RG$Rb <- NULL > RG$Gb <- NULL > if (offset) { > RG$R <- RG$R + offset > RG$G <- RG$G + offset > } > new("RGList", unclass(RG)) > } > <environment: namespace:limma=""> > > > sessionInfo() > R version 2.9.2 RC (2009-08-17 r49303) > x86_64-apple-darwin9.7.0 > > locale: > en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 > > attached base packages: > [1] stats graphics grDevices utils datasets methods base > > other attached packages: > [1] vsn_3.12.0 Biobase_2.4.1 limma_2.18.3 > > loaded via a namespace (and not attached): > [1] affy_1.22.1 affyio_1.12.0 grid_2.9.2 > lattice_0.17-25 preprocessCore_1.6.0 > > > > ---------------------------------------------------------------------- > Dr. Tobias Straub ++4989218075439 Adolf-Butenandt-Institute, M?nchen D > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: > http://news.gmane.org/gmane.science.biology.informatics.conductor -- James W. MacDonald, M.S. Biostatistician Douglas Lab University of Michigan Department of Human Genetics 5912 Buhl 1241 E. Catherine St. Ann Arbor MI 48109-5618 734-615-7826
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@gordon-smyth
Last seen 5 hours ago
WEHI, Melbourne, Australia

Dear James and Tobias,

Well, I have to eat some of the words from my previous post. On further checking, I can see that backgroundCorrect() accesses all the different normexp methods correctly when the data object RG is a matrix, but not when it is an RGList. When RG is an RGList, the normexp always uses the default (saddlepoint) parameter estimates, regardless of which normexp.method option was input.

As usual, James is correct, and this also confirms part of what Tobias said.

The saddlepoint approximation has always been the default normexp method, so hopefully the current behaviour has not given anyone unexpected results.

I've fixed the bug today.

Best wishes
Gordon

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