Mercurial > repos > iuc > raceid_clustering
view scripts/trajectoryinspect.R @ 3:d4646ce659b4 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/raceid3 commit d94b3b8a4c7cf8c604279eb1eea24d32b3868922
author | iuc |
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date | Mon, 15 Apr 2019 17:54:40 -0400 |
parents | 4ea021bd7513 |
children | a4b734cd253b |
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#!/usr/bin/env R VERSION = "0.2" args = commandArgs(trailingOnly = T) if (length(args) != 1){ message(paste("VERSION:", VERSION)) stop("Please provide the config file") } suppressWarnings(suppressPackageStartupMessages(require(RaceID))) suppressWarnings(suppressPackageStartupMessages(require(FateID))) source(args[1]) test <- list() test$side = 3 test$line = 2.5 second <- test second$cex = 0.5 second$line = 2.5 do.trajectoryinspection.stemID <- function(ltr){ makeBranchLink <- function(i,j,k){ ingoing <- paste(sort(c(i,j)), collapse=".") outgoing <- paste(sort(c(j,k)), collapse=".") messed <- sort(c(ingoing,outgoing)) return(list(messed[[1]], messed[[2]])) } zzz <- do.call(getproj, c(ltr, trjsid.getproj)) bra <- branchcells( ltr, do.call("makeBranchLink", as.list(trjsid.branchcells.ijk)) ) write.table( head(bra$diffgenes$z, trjsid.numdiffgenes), file=out.diffgenes) par(mfrow = c(2,2), cex=0.5) print(do.call(plotmap, c(bra$scl, final=FALSE, fr=FALSE))) print(do.call(mtext, c("Initial Clusters (tSNE)", test))) print(do.call(plotmap, c(bra$scl, final=TRUE, fr=FALSE))) print(do.call(mtext, c("Final Clusters (tSNE)", test))) print(do.call(plotmap, c(bra$scl, final=FALSE, fr=TRUE))) print(do.call(mtext, c("Initial Clusters (F-R)", test))) print(do.call(plotmap, c(bra$scl, final=TRUE, fr=TRUE))) print(do.call(mtext, c("Final Clusters (F-R)", test))) } do.trajectoryinspection.fateID <- function(ltr){ n <- do.call(cellsfromtree, c(ltr, trjfid.cellsfrom)) x <- getfdata(ltr@sc) trjfid.filterset$x = x trjfid.filterset$n = n$f fs <- do.call(filterset, c(trjfid.filterset)) trjfid.getsom$x = fs s1d <- do.call(getsom, c(trjfid.getsom)) trjfid.procsom$s1d = s1d ps <- do.call(procsom, c(trjfid.procsom)) y <- ltr@sc@cpart[n$f] fcol <- ltr@sc@fcol trjfid.plotheat$xpart = y trjfid.plotheat$xcol = fcol ##Plot average z-score for all modules derived from the SOM: trjfid.plotheat$x = ps$nodes.z trjfid.plotheat$ypart = unique(ps$nodes) print(do.call(plotheatmap, c(trjfid.plotheat))) print(do.call(mtext, c("Average z-score for all modules derived from SOM", test))) ##Plot z-score profile of each gene ordered by SOM modules: trjfid.plotheat$x = ps$all.z trjfid.plotheat$ypart = ps$nodes print(do.call(plotheatmap, c(trjfid.plotheat))) print(do.call(mtext, c("z-score profile of each gene ordered by SOM modules", test))) ##Plot normalized expression profile of each gene ordered by SOM modules: trjfid.plotheat$x = ps$all.e trjfid.plotheat$ypart = ps$nodes print(do.call(plotheatmap, c(trjfid.plotheat))) print(do.call(mtext, c("Normalized expression profile of each gene ordered by SOM modules", test))) ##Plot binarized expression profile of each gene (z-score < -1, -1 < z-score < 1, z-score > 1): trjfid.plotheat$x = ps$all.b trjfid.plotheat$ypart = ps$nodes print(do.call(plotheatmap, c(trjfid.plotheat))) print(do.call(mtext, c("Binarized expression profile of each gene", test))) ## This should be written out, and passed back into the tool ## to perform sominspect return(list(fs=fs,ps=ps,y=y,fcol=fcol,nf=n$f)) } do.trajectoryinspection.fateID.sominspect <- function(domo){ g <- trjfidsomi.use.genes if (class(g) == "numeric"){ g <- names(ps$nodes)[ps$nodes %in% g] } typ = NULL if (!is.null(trjfidsomi.use.types)){ typ = sub(trjfidsomi.use.types,"", domo$nf) } trjfidsomi$x = domo$fs trjfidsomi$y = domo$y trjfidsomi$g = g trjfidsomi$n = domo$nf trjfidsomi$col = domo$fcol trjfidsomi$types = typ ## The average pseudo-temporal expression profile of this group ## can be plotted by the function plotexpression: par(mfrow = c(1,1)) test$cex = 1 second$line = 1.5 if (trjfidsomi$name == "Title") trjfidsomi$name = "" print(do.call(plotexpression, c(trjfidsomi))) mess2 <- paste(c(trjfidsomi.use.genes), collapse=", ") mess1 <- "Average pseudo-temporal expression profile" print(do.call(mtext, c(mess1, test))) print(do.call(mtext, c(mess2, second))) } ltr <- in.rdat pdf(out.pdf) if (perform.stemID) do.trajectoryinspection.stemID(ltr) if (perform.fateID) { domo <- do.trajectoryinspection.fateID(ltr) if (perform.fateID.sominspect) { do.trajectoryinspection.fateID.sominspect(domo) } } dev.off()