From 21dcb69fb7375eb0c1e67f5b48c4aeaa5e685843 Mon Sep 17 00:00:00 2001 From: Tom Lesluyes Date: Tue, 10 Oct 2023 13:35:25 +0200 Subject: [PATCH 1/3] Update computeISA.R & computeMD.R to include the batch processing --- R/computeISA.R | 53 ++++++++++++++++++++++++++++++++++++ R/computeISA_batch.R | 52 ----------------------------------- R/computeMD.R | 60 +++++++++++++++++++++++++++++++++++++++++ R/computeMD_batch.R | 59 ---------------------------------------- man/computeISA_batch.Rd | 2 +- man/computeMD_batch.Rd | 2 +- 6 files changed, 115 insertions(+), 113 deletions(-) delete mode 100644 R/computeISA_batch.R delete mode 100644 R/computeMD_batch.R diff --git a/R/computeISA.R b/R/computeISA.R index 013f091..41c790f 100644 --- a/R/computeISA.R +++ b/R/computeISA.R @@ -26,4 +26,57 @@ computeISA=function(GR1, GR2, CNstatus="CNstatus") { profiles=harmonizeGRanges(list(GR1, GR2)) sameCN=which(GenomicRanges::mcols(profiles[[1]])[, CNstatus]==GenomicRanges::mcols(profiles[[2]])[, CNstatus]) return(sum(IRanges::width(profiles[[1]][sameCN, ]))/sum(IRanges::width(profiles[[1]]))*100) +} + +#' @title computeISA_batch +#' @description Compute the inter-sample agreement (ISA) for a batch of samples +#' @details This function computes the inter-sample agreement (ISA) between multiple profiles (as a list of GRanges objects). +#' @param myGRList a list of GRanges objects, each object should correspond to one CNA profile +#' @param cores a numeric, the number of cores to use (default: 1) +#' @param min_seg_size a numeric, the minimum segment size (in bp) to consider (default: 0) +#' @param CNstatus a metadata column name for the copy-number status (default: "CNstatus"). Can be total (e.g. "3") or allele-specific (e.g. "2+1") +#' @return A matrix of ISA values +#' @examples +#' require("GenomicRanges") +#' GR1=GRanges(seqnames=rep("1", 3), +#' ranges=IRanges(start=c(1, 1001, 10001), end=c(1000, 10000, 20000)), +#' CNstatus=c("1+1", "2+1", "1+1")) +#' GR2=GRanges(seqnames=rep("1", 2), +#' ranges=IRanges(start=c(500, 10001), end=c(10000, 25000)), +#' CNstatus=c("2+1", "1+1")) +#' GR3=GRanges(seqnames="1", +#' ranges=IRanges(start=500, end=25000), +#' CNstatus="1+1") +#' myGRList=list(GR1, GR2, GR3) +#' names(myGRList)=c("GR1", "GR2", "GR3") +#' computeISA_batch(myGRList) +#' @author tlesluyes +#' @export +computeISA_batch=function(myGRList, cores=1, min_seg_size=0, CNstatus="CNstatus") { + if (cores>1) doParallel::registerDoParallel(cores=cores) + checkGRlist(myGRList) + stopifnot(all(sapply(myGRList, function(x) all("CNstatus" %in% names(GenomicRanges::mcols(x)))))) + if (is.null(names(myGRList))) { + NAMES=as.character(1:length(myGRList)) + } else { + NAMES=names(myGRList) + } + myGRList=harmonizeGRanges(myGRList, cores=cores) + if (min_seg_size>0) { + TO_KEEP=IRanges::width(myGRList[[1]])>min_seg_size + myGRList=lapply(myGRList, function(x) x[TO_KEEP, ]) + rm(TO_KEEP) + } + CNstatus_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, CNstatus]) })) + WIDTHS=IRanges::width(myGRList[[1]]) + SUM_WIDTH=sum(WIDTHS) + ISA=foreach::foreach(i=1:length(myGRList), .combine=cbind) %dopar% { + if (i %% 50==0) print(paste0(i, "/", length(myGRList))) + SAME=CNstatus_matrix==CNstatus_matrix[, i] + return(sapply(1:length(myGRList), function(x) sum(WIDTHS[SAME[, x]])/SUM_WIDTH)) + } + ISA=ISA*100 + rownames(ISA)=NAMES + colnames(ISA)=NAMES + return(ISA) } \ No newline at end of file diff --git a/R/computeISA_batch.R b/R/computeISA_batch.R deleted file mode 100644 index 0f5e76e..0000000 --- a/R/computeISA_batch.R +++ /dev/null @@ -1,52 +0,0 @@ -#' @title computeISA_batch -#' @description Compute the inter-sample agreement (ISA) for a batch of samples -#' @details This function computes the inter-sample agreement (ISA) between multiple profiles (as a list of GRanges objects). -#' @param myGRList a list of GRanges objects, each object should correspond to one CNA profile -#' @param cores a numeric, the number of cores to use (default: 1) -#' @param min_seg_size a numeric, the minimum segment size (in bp) to consider (default: 0) -#' @param CNstatus a metadata column name for the copy-number status (default: "CNstatus"). Can be total (e.g. "3") or allele-specific (e.g. "2+1") -#' @return A matrix of ISA values -#' @examples -#' require("GenomicRanges") -#' GR1=GRanges(seqnames=rep("1", 3), -#' ranges=IRanges(start=c(1, 1001, 10001), end=c(1000, 10000, 20000)), -#' CNstatus=c("1+1", "2+1", "1+1")) -#' GR2=GRanges(seqnames=rep("1", 2), -#' ranges=IRanges(start=c(500, 10001), end=c(10000, 25000)), -#' CNstatus=c("2+1", "1+1")) -#' GR3=GRanges(seqnames="1", -#' ranges=IRanges(start=500, end=25000), -#' CNstatus="1+1") -#' myGRList=list(GR1, GR2, GR3) -#' names(myGRList)=c("GR1", "GR2", "GR3") -#' computeISA_batch(myGRList) -#' @author tlesluyes -#' @export -computeISA_batch=function(myGRList, cores=1, min_seg_size=0, CNstatus="CNstatus") { - if (cores>1) doParallel::registerDoParallel(cores=cores) - checkGRlist(myGRList) - stopifnot(all(sapply(myGRList, function(x) all("CNstatus" %in% names(GenomicRanges::mcols(x)))))) - if (is.null(names(myGRList))) { - NAMES=as.character(1:length(myGRList)) - } else { - NAMES=names(myGRList) - } - myGRList=harmonizeGRanges(myGRList, cores=cores) - if (min_seg_size>0) { - TO_KEEP=IRanges::width(myGRList[[1]])>min_seg_size - myGRList=lapply(myGRList, function(x) x[TO_KEEP, ]) - rm(TO_KEEP) - } - CNstatus_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, CNstatus]) })) - WIDTHS=IRanges::width(myGRList[[1]]) - SUM_WIDTH=sum(WIDTHS) - ISA=foreach::foreach(i=1:length(myGRList), .combine=cbind) %dopar% { - if (i %% 50==0) print(paste0(i, "/", length(myGRList))) - SAME=CNstatus_matrix==CNstatus_matrix[, i] - return(sapply(1:length(myGRList), function(x) sum(WIDTHS[SAME[, x]])/SUM_WIDTH)) - } - ISA=ISA*100 - rownames(ISA)=NAMES - colnames(ISA)=NAMES - return(ISA) -} \ No newline at end of file diff --git a/R/computeMD.R b/R/computeMD.R index 95c00a9..2e1da28 100644 --- a/R/computeMD.R +++ b/R/computeMD.R @@ -34,4 +34,64 @@ computeMD=function(GR1, GR2, nMajor="nMajor", nMinor="nMinor", convertMb=FALSE) MD=sum((abs(GenomicRanges::mcols(profiles[[1]])[, nMajor]-GenomicRanges::mcols(profiles[[2]])[, nMajor])+abs(GenomicRanges::mcols(profiles[[1]])[, nMinor]-GenomicRanges::mcols(profiles[[2]])[, nMinor]))*IRanges::width(profiles[[1]])) if (convertMb) MD=MD/1e6 return(MD) +} + +#' @title computeMD_batch +#' @description Compute the Manhattan distance (MD) for a batch of samples +#' @details This function computes the Manhattan distance (MD) between multiple profiles (as a list of GRanges objects). +#' @param myGRList a list of GRanges objects, each object should correspond to one CNA profile +#' @param cores a numeric, the number of cores to use (default: 1) +#' @param min_seg_size a numeric, the minimum segment size (in bp) to consider (default: 0) +#' @param nMajor a metadata column name for the major allele (default: "nMajor") +#' @param nMinor a metadata column name for the minor allele (default: "nMinor") +#' @param convertMb a boolean, the MD will be converted to megabases if set to TRUE (default: FALSE) +#' @return A matrix of MD values +#' @examples +#' require("GenomicRanges") +#' GR1=GRanges(seqnames=rep("1", 3), +#' ranges=IRanges(start=c(1, 1001, 10001), end=c(1000, 10000, 20000)), +#' nMajor=c(1, 2, 1), +#' nMinor=c(1, 1, 1)) +#' GR2=GRanges(seqnames=rep("1", 2), +#' ranges=IRanges(start=c(500, 10001), end=c(10000, 25000)), +#' nMajor=c(2, 1), +#' nMinor=c(1, 1)) +#' GR3=GRanges(seqnames="1", +#' ranges=IRanges(start=500, end=25000), +#' nMajor=1, +#' nMinor=1) +#' myGRList=list(GR1, GR2, GR3) +#' names(myGRList)=c("GR1", "GR2", "GR3") +#' computeMD_batch(myGRList) +#' @author tlesluyes +#' @export +computeMD_batch=function(myGRList, cores=1, min_seg_size=0, nMajor="nMajor", nMinor="nMinor", convertMb=FALSE) { + if (cores>1) doParallel::registerDoParallel(cores=cores) + checkGRlist(myGRList) + stopifnot(length(convertMb)==1 && is.logical(convertMb)) + stopifnot(all(sapply(myGRList, function(x) all(c(nMajor, nMinor) %in% names(GenomicRanges::mcols(x)))))) + stopifnot(all(sapply(myGRList, function(x) is.numeric(GenomicRanges::mcols(x)[, nMajor])))) + stopifnot(all(sapply(myGRList, function(x) is.numeric(GenomicRanges::mcols(x)[, nMinor])))) + if (is.null(names(myGRList))) { + NAMES=as.character(1:length(myGRList)) + } else { + NAMES=names(myGRList) + } + myGRList=harmonizeGRanges(myGRList, cores=cores) + if (min_seg_size>0) { + TO_KEEP=IRanges::width(myGRList[[1]])>min_seg_size + myGRList=lapply(myGRList, function(x) x[TO_KEEP, ]) + rm(TO_KEEP) + } + nMajor_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, nMajor]) })) + nMinor_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, nMinor]) })) + WIDTHS=IRanges::width(myGRList[[1]]) + MD=foreach::foreach(i=1:length(myGRList), .combine=cbind) %dopar% { + if (i %% 50==0) print(paste0(i, "/", length(myGRList))) + return(apply((abs(nMajor_matrix-nMajor_matrix[, i])+abs(nMinor_matrix-nMinor_matrix[, i]))*WIDTHS, 2, sum)) + } + rownames(MD)=NAMES + colnames(MD)=NAMES + if (convertMb) MD=MD/1e6 + return(MD) } \ No newline at end of file diff --git a/R/computeMD_batch.R b/R/computeMD_batch.R deleted file mode 100644 index cd41184..0000000 --- a/R/computeMD_batch.R +++ /dev/null @@ -1,59 +0,0 @@ -#' @title computeMD_batch -#' @description Compute the Manhattan distance (MD) for a batch of samples -#' @details This function computes the Manhattan distance (MD) between multiple profiles (as a list of GRanges objects). -#' @param myGRList a list of GRanges objects, each object should correspond to one CNA profile -#' @param cores a numeric, the number of cores to use (default: 1) -#' @param min_seg_size a numeric, the minimum segment size (in bp) to consider (default: 0) -#' @param nMajor a metadata column name for the major allele (default: "nMajor") -#' @param nMinor a metadata column name for the minor allele (default: "nMinor") -#' @param convertMb a boolean, the MD will be converted to megabases if set to TRUE (default: FALSE) -#' @return A matrix of MD values -#' @examples -#' require("GenomicRanges") -#' GR1=GRanges(seqnames=rep("1", 3), -#' ranges=IRanges(start=c(1, 1001, 10001), end=c(1000, 10000, 20000)), -#' nMajor=c(1, 2, 1), -#' nMinor=c(1, 1, 1)) -#' GR2=GRanges(seqnames=rep("1", 2), -#' ranges=IRanges(start=c(500, 10001), end=c(10000, 25000)), -#' nMajor=c(2, 1), -#' nMinor=c(1, 1)) -#' GR3=GRanges(seqnames="1", -#' ranges=IRanges(start=500, end=25000), -#' nMajor=1, -#' nMinor=1) -#' myGRList=list(GR1, GR2, GR3) -#' names(myGRList)=c("GR1", "GR2", "GR3") -#' computeMD_batch(myGRList) -#' @author tlesluyes -#' @export -computeMD_batch=function(myGRList, cores=1, min_seg_size=0, nMajor="nMajor", nMinor="nMinor", convertMb=FALSE) { - if (cores>1) doParallel::registerDoParallel(cores=cores) - checkGRlist(myGRList) - stopifnot(length(convertMb)==1 && is.logical(convertMb)) - stopifnot(all(sapply(myGRList, function(x) all(c(nMajor, nMinor) %in% names(GenomicRanges::mcols(x)))))) - stopifnot(all(sapply(myGRList, function(x) is.numeric(GenomicRanges::mcols(x)[, nMajor])))) - stopifnot(all(sapply(myGRList, function(x) is.numeric(GenomicRanges::mcols(x)[, nMinor])))) - if (is.null(names(myGRList))) { - NAMES=as.character(1:length(myGRList)) - } else { - NAMES=names(myGRList) - } - myGRList=harmonizeGRanges(myGRList, cores=cores) - if (min_seg_size>0) { - TO_KEEP=IRanges::width(myGRList[[1]])>min_seg_size - myGRList=lapply(myGRList, function(x) x[TO_KEEP, ]) - rm(TO_KEEP) - } - nMajor_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, nMajor]) })) - nMinor_matrix=do.call(cbind, lapply(myGRList, function(x) { return(GenomicRanges::mcols(x)[, nMinor]) })) - WIDTHS=IRanges::width(myGRList[[1]]) - MD=foreach::foreach(i=1:length(myGRList), .combine=cbind) %dopar% { - if (i %% 50==0) print(paste0(i, "/", length(myGRList))) - return(apply((abs(nMajor_matrix-nMajor_matrix[, i])+abs(nMinor_matrix-nMinor_matrix[, i]))*WIDTHS, 2, sum)) - } - rownames(MD)=NAMES - colnames(MD)=NAMES - if (convertMb) MD=MD/1e6 - return(MD) -} \ No newline at end of file diff --git a/man/computeISA_batch.Rd b/man/computeISA_batch.Rd index 54b92c7..239c00a 100644 --- a/man/computeISA_batch.Rd +++ b/man/computeISA_batch.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/computeISA_batch.R +% Please edit documentation in R/computeISA.R \name{computeISA_batch} \alias{computeISA_batch} \title{computeISA_batch} diff --git a/man/computeMD_batch.Rd b/man/computeMD_batch.Rd index c8a599d..c7897e7 100644 --- a/man/computeMD_batch.Rd +++ b/man/computeMD_batch.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/computeMD_batch.R +% Please edit documentation in R/computeMD.R \name{computeMD_batch} \alias{computeMD_batch} \title{computeMD_batch} From 57b82a17e4d02600d90eae91c8da5bd5540f225c Mon Sep 17 00:00:00 2001 From: Tom Lesluyes Date: Tue, 10 Oct 2023 13:36:04 +0200 Subject: [PATCH 2/3] Add logR/BAF/purity/ploidy functions --- R/logR_BAF_purity_ploidy.R | 114 +++++++++++++++++++++++++++++++++++++ man/computeBAF.Rd | 38 +++++++++++++ man/computeFit.Rd | 41 +++++++++++++ man/computeLogR.Rd | 40 +++++++++++++ man/reestimate_ploidy.Rd | 36 ++++++++++++ man/reestimate_purity.Rd | 34 +++++++++++ 6 files changed, 303 insertions(+) create mode 100644 R/logR_BAF_purity_ploidy.R create mode 100644 man/computeBAF.Rd create mode 100644 man/computeFit.Rd create mode 100644 man/computeLogR.Rd create mode 100644 man/reestimate_ploidy.Rd create mode 100644 man/reestimate_purity.Rd diff --git a/R/logR_BAF_purity_ploidy.R b/R/logR_BAF_purity_ploidy.R new file mode 100644 index 0000000..65d3c16 --- /dev/null +++ b/R/logR_BAF_purity_ploidy.R @@ -0,0 +1,114 @@ +#' @title computeLogR +#' @description Compute the theoretical logR value for a given segment +#' @details This function computes the theoretical logR value for a given segment (from nMajor, nMinor, purity and ploidy values). Since logR isn't allele-specific, ntot can be used instead of nMajor (and nMinor should set to 0). +#' @param nMajor the number of copies of the major allele +#' @param nMinor the number of copies of the minor allele +#' @param purity the purity estimate of the tumour +#' @param ploidy the ploidy estimate of the tumour +#' @param digits a numeric, the number of digits to round to (default: 4) +#' @return A number representing the logR value +#' @seealso https://doi.org/10.1038/s41592-020-01013-2 +#' @examples +#' # A 2+1 state in a diploid tumour with 90% purity +#' computeLogR(2, 1, 0.9, 2) +#' # A loss of 1 copy (2+1) in a pseudo-tetraploid tumour with 60% purity +#' computeLogR(2, 1, 0.6, 3.5) +#' @author tlesluyes +#' @export +computeLogR=function(nMajor, nMinor, purity, ploidy, digits=4) { + stopifnot(all(is.numeric(c(nMajor, nMinor, purity, ploidy, digits)))) + round(log2((purity*(nMajor+nMinor)+2*(1-purity))/(purity*ploidy+2*(1-purity))), digits) +} + +#' @title computeBAF +#' @description Compute the theoretical BAF values for a given segment +#' @details This function computes the theoretical BAF values for a given segment (from nMajor, nMinor and purity values). +#' @param nMajor the number of copies of the major allele +#' @param nMinor the number of copies of the minor allele +#' @param purity the purity estimate of the tumour +#' @param digits a numeric, the number of digits to round to (default: 4) +#' @return A vector of two numbers representing the BAF values +#' @seealso https://doi.org/10.1038/s41592-020-01013-2 +#' @examples +#' # A 2+1 state in a tumour with 90% purity +#' computeBAF(2, 1, 0.9) +#' # A 1+0 state in a tumour with 60% purity +#' computeBAF(1, 0, 0.6) +#' @author tlesluyes +#' @export +computeBAF=function(nMajor, nMinor, purity, digits=4) { + stopifnot(all(is.numeric(c(nMajor, nMinor, purity, digits)))) + BAF1=(purity*nMinor+(1-purity))/(purity*(nMajor+nMinor)+2*(1-purity)) + BAF2=(purity*nMajor+(1-purity))/(purity*(nMajor+nMinor)+2*(1-purity)) + return(round(c(BAF1, BAF2), digits)) +} + +#' @title computeFit +#' @description Compute the purity/ploidy fit for a given segment +#' @details This function computes the purity/ploidy fit (rho, psi and psit) for a given segment (from logR, BAF, proposed nMajor and proposed nMinor). +#' @param logR the logR value of the segment +#' @param BAF the BAF value of the segment (upper band only so the value should be in the 0.5-1 space) +#' @param nMajor the number of copies of the major allele +#' @param nMinor the number of copies of the minor allele +#' @param gamma the gamma parameter is platform-dependent and represents the expected logR decrease in a diploid sample where one copy is lost (should be 1 for HTS data and 0.55 for SNP arrays) +#' @param digits a numeric, the number of digits to round to (default: 4) +#' @return A list with the rho (=purity), psi (=total ploidy) and psit (=tumour ploidy) values +#' @examples +#' # A segment has logR=0.5361 and BAF=0.3448/0.6552 +#' # What is the purity/ploidy fit if I believe that the segment is 2+1? +#' computeFit(0.5361, 0.6552, 2, 1, 1) # purity=90%; ploidy=2 +#' @author tlesluyes +#' @export +#' @seealso https://doi.org/10.1038/s41592-020-01013-2 +computeFit=function(logR, BAF, nMajor, nMinor, gamma, digits=4) { + stopifnot(all(is.numeric(c(logR, BAF, nMajor, nMinor, gamma, digits)))) + rho=(2*BAF-1)/(2*BAF-BAF*(nMajor+nMinor)-1+nMajor) + psi=(rho*(nMajor+nMinor)+2-2*rho)/(2^(logR/gamma)) + psit=(psi-2*(1-rho))/rho + return(list(rho=round(rho, digits), psi=round(psi, digits), psit=round(psit, digits))) +} + +#' @title reestimate_ploidy +#' @description Compute the re-estimated ploidy for a given sample +#' @details This function computes the re-estimated ploidy for a given sample (from its old purity/ploidy fit and the re-estimated purity). +#' @param rho.old old purity estimate +#' @param psit.old old ploidy estimate +#' @param rho.new new purity estimate +#' @param WGD number of WGD events (0 if there is no WGD) +#' @param digits a numeric, the number of digits to round to (default: 4) +#' @return A number representing the re-estimated ploidy +#' @examples +#' # A pseudo-diploid sample has purity=74% and ploidy=2.4 +#' # What is the re-estimated ploidy if I believe that the sample has purity=61%? +#' reestimate_ploidy(0.74, 2.4, 0.61, 0) +#' @author tlesluyes +#' @export +reestimate_ploidy=function(rho.old, psit.old, rho.new, WGD, digits=4) { + stopifnot(all(is.numeric(c(rho.old, psit.old, rho.new, digits)))) + COEF=2*(WGD+1) + return(round(((rho.old*psit.old)+COEF*(rho.new-rho.old))/rho.new, digits)) +} + +#' @title reestimate_purity +#' @description Compute the re-estimated purity for a given sample +#' @details This function computes the re-estimated purity for a given sample in the context of a jump in ploidy (so the matched ploidy needs to be doubled or halved). +#' @param rho.old old purity estimate +#' @param psit.old old ploidy estimate +#' @param switch a character ("double" or "halve") indicating whether the ploidy should be doubled or halved +#' @param digits a numeric, the number of digits to round to (default: 4) +#' @return A number representing the re-estimated purity +#' @examples +#' # A sample has purity=74% and ploidy=2.4 but the CNA profile needs to be doubled +#' # What is the re-estimated purity? +#' reestimate_purity(0.74, 2.4, "double") +#' @author tlesluyes +#' @export +reestimate_purity=function(rho.old, psit.old, switch, digits=4) { + stopifnot(all(is.numeric(c(rho.old, psit.old, digits)))) + stopifnot(switch %in% c("double", "halve")) + if (switch=="double") { + return(round(rho.old/(2-rho.old), digits)) + } else { + return(round(2*rho.old/(rho.old+1), digits)) + } +} \ No newline at end of file diff --git a/man/computeBAF.Rd b/man/computeBAF.Rd new file mode 100644 index 0000000..ed4da23 --- /dev/null +++ b/man/computeBAF.Rd @@ -0,0 +1,38 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/logR_BAF_purity_ploidy.R +\name{computeBAF} +\alias{computeBAF} +\title{computeBAF} +\usage{ +computeBAF(nMajor, nMinor, purity, digits = 4) +} +\arguments{ +\item{nMajor}{the number of copies of the major allele} + +\item{nMinor}{the number of copies of the minor allele} + +\item{purity}{the purity estimate of the tumour} + +\item{digits}{a numeric, the number of digits to round to (default: 4)} +} +\value{ +A vector of two numbers representing the BAF values +} +\description{ +Compute the theoretical BAF values for a given segment +} +\details{ +This function computes the theoretical BAF values for a given segment (from nMajor, nMinor and purity values). +} +\examples{ +# A 2+1 state in a tumour with 90\% purity +computeBAF(2, 1, 0.9) +# A 1+0 state in a tumour with 60\% purity +computeBAF(1, 0, 0.6) +} +\seealso{ +https://doi.org/10.1038/s41592-020-01013-2 +} +\author{ +tlesluyes +} diff --git a/man/computeFit.Rd b/man/computeFit.Rd new file mode 100644 index 0000000..20eb3da --- /dev/null +++ b/man/computeFit.Rd @@ -0,0 +1,41 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/logR_BAF_purity_ploidy.R +\name{computeFit} +\alias{computeFit} +\title{computeFit} +\usage{ +computeFit(logR, BAF, nMajor, nMinor, gamma, digits = 4) +} +\arguments{ +\item{logR}{the logR value of the segment} + +\item{BAF}{the BAF value of the segment (upper band only so the value should be in the 0.5-1 space)} + +\item{nMajor}{the number of copies of the major allele} + +\item{nMinor}{the number of copies of the minor allele} + +\item{gamma}{the gamma parameter is platform-dependent and represents the expected logR decrease in a diploid sample where one copy is lost (should be 1 for HTS data and 0.55 for SNP arrays)} + +\item{digits}{a numeric, the number of digits to round to (default: 4)} +} +\value{ +A list with the rho (=purity), psi (=total ploidy) and psit (=tumour ploidy) values +} +\description{ +Compute the purity/ploidy fit for a given segment +} +\details{ +This function computes the purity/ploidy fit (rho, psi and psit) for a given segment (from logR, BAF, proposed nMajor and proposed nMinor). +} +\examples{ +# A segment has logR=0.5361 and BAF=0.3448/0.6552 +# What is the purity/ploidy fit if I believe that the segment is 2+1? +computeFit(0.5361, 0.6552, 2, 1, 1) # purity=90\%; ploidy=2 +} +\seealso{ +https://doi.org/10.1038/s41592-020-01013-2 +} +\author{ +tlesluyes +} diff --git a/man/computeLogR.Rd b/man/computeLogR.Rd new file mode 100644 index 0000000..b045b33 --- /dev/null +++ b/man/computeLogR.Rd @@ -0,0 +1,40 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/logR_BAF_purity_ploidy.R +\name{computeLogR} +\alias{computeLogR} +\title{computeLogR} +\usage{ +computeLogR(nMajor, nMinor, purity, ploidy, digits = 4) +} +\arguments{ +\item{nMajor}{the number of copies of the major allele} + +\item{nMinor}{the number of copies of the minor allele} + +\item{purity}{the purity estimate of the tumour} + +\item{ploidy}{the ploidy estimate of the tumour} + +\item{digits}{a numeric, the number of digits to round to (default: 4)} +} +\value{ +A number representing the logR value +} +\description{ +Compute the theoretical logR value for a given segment +} +\details{ +This function computes the theoretical logR value for a given segment (from nMajor, nMinor, purity and ploidy values). Since logR isn't allele-specific, ntot can be used instead of nMajor (and nMinor should set to 0). +} +\examples{ +# A 2+1 state in a diploid tumour with 90\% purity +computeLogR(2, 1, 0.9, 2) +# A loss of 1 copy (2+1) in a pseudo-tetraploid tumour with 60\% purity +computeLogR(2, 1, 0.6, 3.5) +} +\seealso{ +https://doi.org/10.1038/s41592-020-01013-2 +} +\author{ +tlesluyes +} diff --git a/man/reestimate_ploidy.Rd b/man/reestimate_ploidy.Rd new file mode 100644 index 0000000..858451d --- /dev/null +++ b/man/reestimate_ploidy.Rd @@ -0,0 +1,36 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/logR_BAF_purity_ploidy.R +\name{reestimate_ploidy} +\alias{reestimate_ploidy} +\title{reestimate_ploidy} +\usage{ +reestimate_ploidy(rho.old, psit.old, rho.new, WGD, digits = 4) +} +\arguments{ +\item{rho.old}{old purity estimate} + +\item{psit.old}{old ploidy estimate} + +\item{rho.new}{new purity estimate} + +\item{WGD}{number of WGD events (0 if there is no WGD)} + +\item{digits}{a numeric, the number of digits to round to (default: 4)} +} +\value{ +A number representing the re-estimated ploidy +} +\description{ +Compute the re-estimated ploidy for a given sample +} +\details{ +This function computes the re-estimated ploidy for a given sample (from its old purity/ploidy fit and the re-estimated purity). +} +\examples{ +# A pseudo-diploid sample has purity=74\% and ploidy=2.4 +# What is the re-estimated ploidy if I believe that the sample has purity=61\%? +reestimate_ploidy(0.74, 2.4, 0.61, 0) +} +\author{ +tlesluyes +} diff --git a/man/reestimate_purity.Rd b/man/reestimate_purity.Rd new file mode 100644 index 0000000..3af409e --- /dev/null +++ b/man/reestimate_purity.Rd @@ -0,0 +1,34 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/logR_BAF_purity_ploidy.R +\name{reestimate_purity} +\alias{reestimate_purity} +\title{reestimate_purity} +\usage{ +reestimate_purity(rho.old, psit.old, switch, digits = 4) +} +\arguments{ +\item{rho.old}{old purity estimate} + +\item{psit.old}{old ploidy estimate} + +\item{switch}{a character ("double" or "halve") indicating whether the ploidy should be doubled or halved} + +\item{digits}{a numeric, the number of digits to round to (default: 4)} +} +\value{ +A number representing the re-estimated purity +} +\description{ +Compute the re-estimated purity for a given sample +} +\details{ +This function computes the re-estimated purity for a given sample in the context of a jump in ploidy (so the matched ploidy needs to be doubled or halved). +} +\examples{ +# A sample has purity=74\% and ploidy=2.4 but the CNA profile needs to be doubled +# What is the re-estimated purity? +reestimate_purity(0.74, 2.4, "double") +} +\author{ +tlesluyes +} From 0bc2f9b18f30a900e64336a8f41d087c64c16751 Mon Sep 17 00:00:00 2001 From: Tom Lesluyes Date: Tue, 10 Oct 2023 13:36:51 +0200 Subject: [PATCH 3/3] Release 1.0.5 --- DESCRIPTION | 4 ++-- NAMESPACE | 5 +++++ README.md | 28 ++++++++++++++++++++++++++-- manual/myFun.pdf | Bin 102133 -> 111411 bytes 4 files changed, 33 insertions(+), 4 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 021b88d..a639535 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: myFun Type: Package Title: myFun is a collection of my favorite R functions, packaged for simplicity -Version: 1.0.4 -Date: 2023-10-03 +Version: 1.0.5 +Date: 2023-10-10 Authors@R: person("Tom", "Lesluyes", email = "lesluyes.tom@iuct-oncopole.fr", role = c("aut", "cre")) Author: Tom Lesluyes [aut, cre] Maintainer: Tom Lesluyes diff --git a/NAMESPACE b/NAMESPACE index 7923935..8542a41 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -2,8 +2,11 @@ export(adjustPositions) export(checkGRlist) +export(computeBAF) +export(computeFit) export(computeISA) export(computeISA_batch) +export(computeLogR) export(computeMD) export(computeMD_batch) export(generate_cytoband_and_CHRsize) @@ -11,5 +14,7 @@ export(harmonizeGRanges) export(load_CHRsize) export(load_cytoband) export(occurrenceGRanges) +export(reestimate_ploidy) +export(reestimate_purity) export(splitDF) importFrom(foreach,"%dopar%") diff --git a/README.md b/README.md index becc30c..b77f123 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # myFun myFun is a collection of my favorite R functions, packaged for simplicity. -![R package version](https://img.shields.io/github/r-package/v/tlesluyes/myFun?color=blue) ![License](https://img.shields.io/github/license/tlesluyes/myFun?label=License&color=blue) ![GitHub workflow status](https://img.shields.io/github/actions/workflow/status/tlesluyes/myFun/r.yml?logo=github&label=R%20CMD%20check) +[![R package version](https://img.shields.io/github/r-package/v/tlesluyes/myFun?color=blue)](manual/myFun.pdf) [![License](https://img.shields.io/github/license/tlesluyes/myFun?label=License&color=blue)](LICENSE) [![GitHub workflow status](https://img.shields.io/github/actions/workflow/status/tlesluyes/myFun/r.yml?logo=github&label=R%20CMD%20check)](https://github.com/tlesluyes/myFun/actions/) ## Installation @@ -14,4 +14,28 @@ BiocManager::install(c("GenomicRanges", "IRanges")) ### myFun ```R devtools::install_github("tlesluyes/myFun") -``` \ No newline at end of file +``` + +## Some examples +What are the logR and BAF values for a 2+1 segment in a diploid tumour with 70% purity? +```R +computeLogR(2, 1, 0.70, 2) +computeBAF(2, 1, 0.70, 2) +``` + +What are the chromosome sizes in hg38? +```R +load_CHRsize("hg38") +``` + +How to get the genomic locations covered in different CNA profiles? +```R +require("GenomicRanges") +GR1=GRanges(seqnames="1", ranges=IRanges(start=1, end=1000), nMajor=1, nMinor=1) +GR2=GRanges(seqnames="1", ranges=IRanges(start=10, end=2000), nMajor=2, nMinor=1) +GR3=GRanges(seqnames="1", ranges=IRanges(start=c(5, 21), end=c(20, 2000)), nMajor=c(1, 2), nMinor=c(1, 0)) +harmonizeGRanges(list(GR1, GR2, GR3)) +``` + +## Manual +All of the functions are described in [manual/myFun.pdf](manual/myFun.pdf). \ No newline at end of file diff --git a/manual/myFun.pdf b/manual/myFun.pdf index 1dab97c74c666d2898bac1adda2561f96fc3dd76..0e36749c1c343e0cc56a8a03b2e020167b6645da 100644 GIT binary patch delta 102054 zcmZs?Qu_on%Q3Et}9JV;H{O0QBx5#V@y;e%r zqsXVgv9lQ*b9ziiO2=c0#8}`XH&4Fb{ZXiAq*b`ZAJm7OBz1P5Zf}1xxu+tyGsN9u zjwZb=9P#ZTj8H+9JD$8Clpv#!IE!KxDE4c>p04&hL%AnCGHXfCm4S2t(6b)ApK@M| zzG=ab5CFtf7(pDs=|WCd0qDlWoPYaDwEs*jwxfIoXDG^Qq2||>(vyoj2?bO9Rsf0X zhoT@BjhC(Nz;yO#N>$(=Nu@lB!wRO(c?hr$e0~lazb0Imsuk* z;hCmkr7)LN%bilSm=sWdF{k4&?{-jnrgHzW`UX_6EMff3U@zCG@i9Zz&8o$Cu4shP z&}x`%Vq40(^OxHQ_6LNc)YDE?Qacx$VUVDB;G>2lV9A+HZ^?2jSQUC0;f(N?!mIfP z?K@~l#4hC*nIIxnJb?zVuEq=TT`kS@Kd26T6u@G)iO4|_ z*gUU}Wb2QFfJ)NGCur8!aG*#sD_(pnDlvl)M%u_x&Q>;}k zuY8Na1biQp%Qse5nmrXtZ;fwdXPZ~(syUCjk0~jPM_*RVO=tQ!gb6a0cC1vMA2V9q z?Brc922<<=7+MI;iM49Stqd4RxT$SV&wW|4$=L9pvAwke?@NiRfJI2~2fAs+69RBn 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