Entering edit mode
Javerjung Sandhu
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200
@javerjung-sandhu-5043
Last seen 10.3 years ago
Dear List,
I am getting few errors while running edgeR and would like to know few
things too as i am novice to edgeR and R. My errors and questions are
as follows:
1. I am getting an error "could not find function plotBCV". As i am
loading package edgeR and limma, I shouldn't be getting this error. So
why i am getting this error?
2. plot smear also doesn't seem to work.
THIS LAST POINT IS MOST IMPORTANT TO ME.
3. For the "topTags" function in edgeR, I want to use my own set of
p-values ranging from 0.001 upto 0.01 i.e. i want to do multiple
testing. Secondly i want to use atleast two adjust methods namely
"bonferroni" and "fdr" for my tests. As the p-value i will be giving
to the program i also want to get the list of all those genes who pass
that threshhold/ cut off value. Because when i choose n = 6449 (total
no. of genes in my dataset). It displays everything but actually i
want to get only significantly differentially expressed genes. If
anybody of you can help me using the "topTags" function properly, i
would be really thankful.
Any help would be really appreciated. Thanks in advance.
The output from the R console is pasted below:
R version 2.14.1 (2011-12-22)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: x86_64-pc-mingw32/x64 (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
[Previously saved workspace restored]
> #!/usr/bin/env Rscript
> #source("http://www.bioconductor.org/biocLite.R")
> #biocLite("edgeR")
> library(edgeR)
Loading required package: limma
Warning messages:
1: package edgeR was built under R version 2.14.2
2: package limma was built under R version 2.14.2
> library(limma)
> options(width=80)
>
> # Reading file
> Input_file <- read.delim("wt_ko_library.txt",row.names = "Symbol")
>
> # Creating group factor
> Group <- factor(c(1,1,1,1,2,2,2,2))
> #Group <- c(rep("wt",4), rep("ko",4))
> #lib.size <- c(6449,6449,6449,6449,6449,6449,6449,6449)
>
> # Creating DGEList object
> DGE_List_Object <- DGEList(counts = Input_file, group = Group)
Calculating library sizes from column totals.
> # Filtering lowly expressed tags
> #DGE_List_Object <- DGE_List_Object[rowSums(DGE_List_Object$counts)
>= 5,]
> #DGE_List_Object$samples$lib.size <-
colSums(DGE_List_Object$counts)
>
> # Calculating normalization factors
> DGE_List_Object <- calcNormFactors(DGE_List_Object)
>
> # Creating MDS plot
> plotMDS(DGE_List_Object, xlim = c(-2,1),
labels=colnames(DGE_List_Object))
>
> # Estimating common dispersion
> DGE_List_Object <- estimateCommonDisp(DGE_List_Object)
>
> # Estimating tagwise dispersion
> DGE_List_Object <- estimateTagwiseDisp(DGE_List_Object)
>
> # Plotting tagwise dispersion estimates against log-
concentration(i.e. tag abundance)
> plot(log2(DGE_List_Object$conc$conc.common),
DGE_List_Object$tagwise.dispersion, panel.first = grid())
> abline(h = DGE_List_Object$common.dispersion, col = "dodgerblue",
lwd = 3)
>
> # Plot BCV
> plotBCV(DGE_List_Object, xlab = "Abundance (log2 counts per
million)", ylab = "Biological coefficient of variation")
Error: could not find function "plotBCV"
> abline(h = sqrt(DGE_List_Object$common.dispersion), col =
"firebrick", lwd = 3)
>
> # Doing exactTest test
> Exact_Test_Results <- exactTest(DGE_List_Object)
> #names(Exact_Test_Results)
>
> # To generate a plot of the log-fold change against the log-cpm for
each tag
> DETags <- rownames(DGE_List_Object)[as.logical(de)]
Error in as.logical(de) :
cannot coerce type 'closure' to vector of type 'logical'
> plotSmear(Exact_Test_Results, de.tags = DETags)
Error in match(de.tags, rownames(object$table)) :
object 'DETags' not found
> abline(h = c(-2,2), col = "dodgerblue")
>
> # Creating TopTags Object
> P_values <- c(0.001, 0.002, 0.003, 0.004, 0.005, 0.006, 0.007,
0.008, 0.009, 0.01)
> p.adjust(p = P_values, n = length(P_values))
[1] 0.010 0.018 0.024 0.028 0.030 0.030 0.030 0.030 0.030 0.030
> TopTags_Object <- topTags(Exact_Test_Results, n = 6449, adj.p.val =
P_values,
+ adjust.method = "bonferroni", sort.by="p.value")
Error in topTags(Exact_Test_Results, n = 6449, adj.p.val = P_values,
adjust.method = "bonferroni", :
unused argument(s) (adj.p.val = P_values)
>
> # Showing the cpm for the genes that edgeR has identified as the
most differentially expressed
> #DEGenes <- rownames(topTags(Exact_Test_Results))
> #cpm(DGE_List_Object)[DEGenes,]
>
> # DATA TO BE WRITTEN OR WRITING
> M_of_DGE_List_Object <- as.matrix(DGE_List_Object)
> write.table(M_of_DGE_List_Object, file = "DGE_List_Object.txt", sep
= "\t")
> write.table(Exact_Test_Results$table, file =
"Table_of_Exact_Test_Results.txt", sep = "\t")
> M_of_ETR_comparison <- as.matrix(Exact_Test_Results$comparison)
> write.table(M_of_ETR_comparison, file =
"Comparison_Component_of_Exact_Test_Results.txt", sep = "\t")
> write.table(Exact_Test_Results$genes, file =
"Genes_of_Exact_Test_Results.txt", sep = "\t")
> DF_of_TopTags_Object <- as.data.frame(TopTags_Object, row.names =
NULL, optional = FALSE)
Error in as.data.frame(TopTags_Object, row.names = NULL, optional =
FALSE) :
object 'TopTags_Object' not found
> write.table(DF_of_TopTags_Object, file = "TopTags_Object.txt", sep =
"\t")
Error in is.data.frame(x) : object 'DF_of_TopTags_Object' not found
>
Thanks,
Jung
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