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alessandro.guffanti@genomnia.com
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330
@alessandroguffantigenomniacom-4436
Last seen 10.3 years ago
Der BioC edgeR developers and users:
I am using edgeR for ncRNA transcriptome data analysis - ie mapping
RNA seq
results only versus a ncRNA transcript database (bowtie from Color
Space
reads)
There seems to be, unsurprisingly, an high variability on these
samples,
which
affects obviously the FDR
However, what surprised us is that the CPM for the same samples in
different
comparisons (TMM-normalized) are always very different
As an example:
*
**Comparison **A*
Transcript_ID logFC logCPM PValue FDR WT_4_CPM
WT_7.CPM WT_10.CPM
ENST00000456355 1.42 10.91 0.00001 0.03283
2843 2926 2631
*
**Comparison **B
*
Transcript_ID logFC logCPM PValue FDR WT_4_CPM
WT_7.CPM WT_10.CPM
ENST00000456355 0.91 11.11 0.00003 0.00361
190 341 157
Can TMM normalization affect so heavily the CPM values of the same
samples in different comparisons,
or do we have something else wrong here ?
Thanks in advance for any feedback on this,
Alessandro G
---
R version 3.0.2 (2013-09-25)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] edgeR_3.4.0 limma_3.18.3
--
Alessandro Guffanti
Alessandro Guffanti
Head, Bioinformatics
*Genomnia srl*
Via Nerviano, 31/B -- 20020 Lainate (MI)
Tel. +39-0293305.702 / Fax +39-0293305.777
www.genomnia.com <http: www.genomnia.com="">
alessandro.guffanti@genomnia.com
<mailto:alessandro.guffanti@genomnia.com>
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