diff scripts/trajectoryinspect.R @ 0:e0e9b24d76aa draft

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/raceid3 commit f880060c478d42202df5b78a81329f8af56b1138
author iuc
date Thu, 22 Nov 2018 04:42:18 -0500
parents
children c8434a623268
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/scripts/trajectoryinspect.R	Thu Nov 22 04:42:18 2018 -0500
@@ -0,0 +1,134 @@
+#!/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()