[BioC] Difference in DABG between XPS package and APT
zaid haddad [guest]
guest at bioconductor.org
Fri Aug 31 19:06:33 CEST 2012
Hello,
I have a question regarding XPS and APT when computing DABG option.
Here's my XPS command:
#begin XPS code
dabg.call(root.data, filedir = root.path, filename = paste("tmpdt", "RMA", root.filename, sep="_"), option = "probeset", exonlevel = "all", verbose = TRUE)
#end
Here's my APT command line:
#begin
apt-probeset-summarize -a dabg -feat-details -b /Data/affx.tech.files/HuEx-1_0-st-v2.r2/HuEx-1_0-st-v2.r2.antigenomic.bgp -p /Data/affx.tech.files/HuEx-1_0-st-v2.r2/HuEx-1_0-st-v2.r2.pgf -c /Data/affx.tech.files/HuEx-1_0-st-v2.r2/HuEx-1_0-st-v2.r2.crosshyb_1.na24.clf -s /Data/affx.tech.files/HuEx-1_0-st-v2.r2/HuEx-1_0-st-v2.r2.dt1.hg18.full.mps --qc-probesets /Data/affx.tech.files/HuEx-1_0-st-v2.r2/HuEx-1_0-st-v2.r2.qcc -o dabg/ --subsample-report --cel-files cel_list.txt
#end
I get different p-values and different Percent Present calls. (Highly correlated though).
#R code
cor(apt.detcal$all_probeset_percent_called,xps.detcal$PercentPresent)
#[1] 0.9978199
#difference in PSRs between XPS and APT dabg output
length(setdiff(xps.dabg[,2], rownames(apt.dabg)))
#[1] 15332
#difference in PSRs between APT and XPS dabg output
length(setdiff( rownames(apt.dabg), xps.dabg[,2]))
#[1] 2904
#Total # of PSRs that differ
2904+15332
#[1] 18236
#PSRs in common
length(intersect(xps.dabg[,2], rownames(apt.dabg)))
#[1] 1381327
The APT output is always lower in the PercentPresent.
Thanks in Advance
-- output of sessionInfo():
R version 2.13.1 (2011-07-08)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=C LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] tools splines stats graphics grDevices utils datasets
[8] methods base
other attached packages:
[1] xps_1.12.1 abind_1.4-0 survival_2.36-14
[4] affxparser_1.24.0 fastmatch_1.0-4 glmnet_1.7.1
[7] Matrix_0.999375-50 earth_3.2-3 plotrix_3.4-3
[10] plotmo_1.3-2 leaps_2.9 rpart_3.1-50
[13] HDclassif_1.2.1 MASS_7.3-13 randomForest_4.6-6
[16] e1071_1.6 class_7.3-3 oligo_1.14.0
[19] oligoClasses_1.14.0 frma_1.3.10 Biobase_2.12.2
[22] caret_5.15-023 cluster_1.14.0 reshape_0.8.4
[25] plyr_1.7.1 lattice_0.19-30 matrixStats_0.4.3
[28] R.methodsS3_1.4.2 abind_1.4-0 foreach_1.4.0
[31] itertools_0.1-1 iterators_1.0.5
loaded via a namespace (and not attached):
[1] affy_1.30.0 affyio_1.20.0 Biostrings_2.20.4
[4] codetools_0.2-8 DBI_0.2-5 grid_2.13.1
[7] IRanges_1.10.6 preprocessCore_1.14.0
--
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