[BioC] variation in output -using gcrma: bg correction
James W. MacDonald
jmacdon at med.umich.edu
Mon Dec 11 18:47:06 CET 2006
Sucheta Tripathy wrote:
> Dear Group
>
> when I run background(using GCRMA) correction for chips:
>
> "10_1331.1I.R208L.CEL" "9_C101.1F.R9F2L.CEL" and for chips
> "10_1195.1E.R119U.CEL" "9_C101.1F.R9F2L.CEL" keeping
> 9_C101.1F.R9F2L.CEL as constant, For both the runs I get slightly
> different outputs for chip 9_C101.1F.R9F2L.CEL (Data below). This does not
> happen when GSB.adjust is set to FALSE. Also we have noticed the variation
> seem to get lesser when we try more chips together.Any reason why it
> should be happening this way?
I would recommend reading (or re-reading) the GCRMA papers by Wu and
Irizarry that can be found on Rafael Irizarry's website. The question
you pose indicates a fundamental lack of knowledge about the procedure
you are using, which can be dangerous, especially since you appear to
want to do some non-standard things.
Anyway, the short answer is that the background is based on a model fit
using the MM probes (from all chips in the data set). If you vary what
chips you are using, by definition the background estimates will change.
In addition, as with all models, the more data you have, the better and
more stable the estimates, so more chips == better and more stable
background estimates.
Best,
Jim
>
> Many thanks
>
> Sucheta
>
> My code:
> -------
> obj<-ReadAffy(filenames=file)
> tmp1<-bg.adjust.gcrma(obj,optical.correct=T,affinity.info=affinfo)
> outfile<-paste(outdir, celfile[i,1], "_bg.txt", sep="")
> write.table(pm(tmp1), file=outfile, row.names=FALSE, col.names=TRUE,
> sep="\t")
> ----------------------------------------------------------------------
>
>
> "10_1331.1I.R208L.CEL" "9_C101.1F.R9F2L.CEL"
> ---------------------------------------------
> 12.5854077145271 4.27009199115734
> 135.577788495271 115.177321956904
> 113.171763014501 124.781182045557
> 2.69508615100678 13.3527712251500
> 14.5462397159524 36.7662738574386
> 94.6480456343775 48.972931999473
> 230.750229599019 212.534925776574
> 242.058765502072 337.251490520153
> 233.871977591185 339.413283090951
> 134.355125363486 108.047618775561
> 136.685235380017 126.239703801863
> 76.2625488684543 45.3623158856175
> 148.251139760089 120.315265011794
> 328.121529159736 319.366509787047
> 291.865380794849 361.992073209429
> 3.97218796139000 4.20902848830535
> 14.6419514021341 31.6450267847893
> 28.8699339528603 67.3237575282198
> 110.496037483661 111.806067290232
> 22.2876523362755 41.5481196151883
> 205.194483921088 276.995029856902
> 84.8559677803056 96.0077121491932
> 778.222646971625 559.863168099135
> 4.83202857118797 11.3149613102092
> 3.66166154528273 39.6717762417948
> 67.7761672656053 94.6394189279102
> 112.500673213605 190.985739398352
> 171.007645212454 200.035151512867
> 492.236603432973 352.584270678829
> 130.800353580651 155.324195356517
> 146.303381286542 160.442554666605
> 4.34069757710996 61.4777011118527
> 88.9169964732945 84.2320613854983
> 69.1622655457769 60.1255829409642
> 382.758342400691 429.238548268896
> 3.90087434250685 4.02923006445781
> 245.047319536046 186.199916603738
> 4.60503013970163 16.7179032017834
> 45.8974167676779 58.6091870023334
> 152.737507677336 87.4646339988696
> ===================================================
>
> "10_1195.1E.R119U.CEL" "9_C101.1F.R9F2L.CEL"
> ---------------------------------------------
> 34.9453663026134 4.35753552341506
> 120.903734762231 116.962904914229
> 111.293345773408 133.421207928372
> 2.96910233809292 14.4050686356057
> 34.7269027797637 35.8835240852081
> 85.3109066158579 45.2284068764267
> 222.081465596656 201.346914814921
> 378.991271676870 336.282180468649
> 324.355847430672 337.586327159885
> 148.252162519851 107.763579952789
> 146.760939437243 127.027138121574
> 68.9112298899552 45.5584187250637
> 178.300028533109 125.831740523771
> 457.092497175424 331.253094567131
> 349.374485133996 357.721065463285
> 8.39630366380937 4.30526177658911
> 50.2501294702745 31.1539961383794
> 51.2772385586404 66.8937884059372
> 169.473350033569 117.993461506227
> 47.5601861370703 41.0301951390256
> 238.568680512591 271.103448196271
> 122.668905036686 92.7991203760259
> 710.506330695352 568.473304793075
> 14.1193442910318 11.2664752571536
> 29.6858453280301 41.0915584209232
> 78.9811024872745 98.557906977124
> 143.137824860583 200.312672914717
> 228.952312559228 208.952150636992
> 414.93711559597 364.157958616779
> 193.573470074735 156.743939369768
> 151.710594739511 165.182915986475
> 16.3790389361525 62.1220611327726
> 63.6344501007354 81.4281142367824
> 52.6876908746722 58.4074520261634
> 356.890313613082 426.263965724419
> 4.0847500724139 4.13161532597561
> 233.32353554667 185.840713238473
> 4.71348339142599 16.7565881676473
> 89.4105877815801 55.7427731671095
> 162.930238504639 91.1574660327713
> 27.6720869896949 30.8456197258235
> 107.041950691333 17.5365838616139
> 132.491703246086 94.8472761626705
> 165.348305450273 118.806052283819
> 428.453296492502 438.259964898252
> 38.5832188166168 20.0643402347992
>
--
James W. MacDonald, M.S.
Biostatistician
Affymetrix and cDNA Microarray Core
University of Michigan Cancer Center
1500 E. Medical Center Drive
7410 CCGC
Ann Arbor MI 48109
734-647-5623
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