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Thread | Thread Starter | Forum | Replies | Last Post |
assembly with unsatisfying results - use new reads with larger inserts? | martin_313 | Bioinformatics | 4 | 01-23-2012 01:52 AM |
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edgeR separate offset values/normalizations for each tag | sruddy | RNA Sequencing | 1 | 07-08-2011 04:59 PM |
samtools (or other tools) to find larger indels | waalkes | Bioinformatics | 0 | 06-15-2011 03:53 PM |
Bowtie ouput in Tophat | unidodo | Bioinformatics | 2 | 03-30-2011 01:13 PM |
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#1 |
Junior Member
Location: LA Join Date: Nov 2011
Posts: 5
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I was using edgeR to do differential expression on a RNA-seq dataset, but when I check the p.value distribution of the output, I found ~700 genes got a p value larger than 1... Just wondering if anyone else got this problem before? And why I got such a weird a result. Here's my codes,
d <- DGEList(counts=countsTable, group=conds, lib.size = lib.sizes) #I used the raw read counts as instructed d <- calcNormFactors(d, method="TMM") d <- estimateCommonDisp(d) et.commonDis <- exactTest(d) hist(et.commonDis$table$p.value, breaks=100, col="skyblue", border="slateblue", main="pval distribution_edgeR") I got a picture as attached... May I have your ideas? Thanks. |
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#2 |
Member
Location: Melbourne, Australia Join Date: Apr 2011
Posts: 91
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edgeR doesn't produce p-values greater than one. If you did observe this, then it would be a bug in the software, and you should write to the authors, who always appreciate being alerted to such things. But make sure first you are using the current software and that you can reproduce the problem.
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