comparison scripts/trajectoryinspect.R @ 6:41f34e925bd5 draft

"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/raceid3 commit 53916f6803b93234f992f5fd4fad61d7013d82af"

5:37a47c4fd84d

#!/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)))
}

6:41f34e925bd5

#!/usr/bin/env R
VERSION <- "0.2" # nolint

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) { # nolint
    makeBranchLink <- function(i, j, k) { # nolint
        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(3, 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$scl, final = FALSE, um = TRUE)))
    print(do.call(mtext, c("Initial Clusters (UMAP)", test)))
    print(do.call(plotmap, c(bra$scl, final = TRUE, um = TRUE)))
    print(do.call(mtext, c("Final Clusters (UMAP)", 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) { # nolint
    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

    test$side <- 3
    test$line <- 3

    ##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(paste0("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(paste0("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) { # nolint
    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)))
}