chr13.6681_chr13_24375823_24376158_+_1.R fitVsDatCorrelation=0.922899130763323 cont.fitVsDatCorrelation=0.266728953041587 fstatistic=5928.21528120597,37,347 cont.fstatistic=938.337192797345,37,347 residuals=-0.483345015566583,-0.0992920097439152,-0.00708740952713014,0.0878586265139087,0.614547834384744 cont.residuals=-0.75142672344386,-0.310139215693388,-0.163780915734460,0.326645830415610,1.14731635042980 predictedValues: Include Exclude Both chr13.6681_chr13_24375823_24376158_+_1.R.tl.Lung 53.639216227272 138.99297248 52.430468813111 chr13.6681_chr13_24375823_24376158_+_1.R.tl.cerebhem 53.3522910184551 111.562058388206 81.0040029832647 chr13.6681_chr13_24375823_24376158_+_1.R.tl.cortex 49.0680039183911 95.958424806593 60.2924527034056 chr13.6681_chr13_24375823_24376158_+_1.R.tl.heart 50.4418557892567 89.909644650219 51.9199190921367 chr13.6681_chr13_24375823_24376158_+_1.R.tl.kidney 53.1363868878865 141.517176814938 52.640822229228 chr13.6681_chr13_24375823_24376158_+_1.R.tl.liver 53.6438384676306 122.491157419566 86.7803273623258 chr13.6681_chr13_24375823_24376158_+_1.R.tl.stomach 52.8209867006748 102.307996822583 57.5057241629022 chr13.6681_chr13_24375823_24376158_+_1.R.tl.testicle 53.304893543721 106.537221658521 70.3305797621641 diffExp=-85.353756252728,-58.2097673697508,-46.890420888202,-39.4677888609623,-88.3807899270511,-68.847318951935,-49.4870101219087,-53.2323281147999 diffExpScore=0.99796279734041 diffExp1.5=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.5Score=0.888888888888889 diffExp1.4=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.4Score=0.888888888888889 diffExp1.3=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.3Score=0.888888888888889 diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 74.6052588221788 67.4787786890252 83.5313167006833 cerebhem 79.9529436003571 72.5182528035641 89.4731772528437 cortex 77.0453530130114 70.2601082945231 69.2211306682989 heart 83.0849645201757 72.9577822508531 69.1841093202222 kidney 68.0000235028137 80.6188481844798 87.6085290470487 liver 67.3571744990307 69.1339979148398 87.9151514236424 stomach 67.9890483382775 59.0232276396672 82.9234294505945 testicle 67.6652109114007 89.133337351641 67.6464606820316 cont.diffExp=7.12648013315368,7.43469079679305,6.78524471848826,10.1271822693226,-12.6188246816661,-1.77682341580908,8.96582069861028,-21.4681264402403 cont.diffExpScore=13.6850903819752 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=0,0,0,0,0,0,0,0 cont.diffExp1.4Score=0 cont.diffExp1.3=0,0,0,0,0,0,0,-1 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,0,0,0,0,0,-1 cont.diffExp1.2Score=0.5 tran.correlation=0.678338216581557 cont.tran.correlation=-0.139476600839923 tran.covariance=0.00389769844501157 cont.tran.covariance=-0.00102618972326173 tran.mean=83.0427578496196 cont.tran.mean=72.92651939599 weightedLogRatios: wLogRatio Lung -4.24498824007396 cerebhem -3.20570297232183 cortex -2.83612912909419 heart -2.43320435061271 kidney -4.37142135922508 liver -3.6289968274039 stomach -2.84095385524297 testicle -2.99302021165040 cont.weightedLogRatios: wLogRatio Lung 0.42789680530467 cerebhem 0.422865338070335 cortex 0.396260464794018 heart 0.566058521833334 kidney -0.732751486387614 liver -0.109955813967802 stomach 0.586682181666491 testicle -1.19933975401920 varWeightedLogRatios=0.48950965810838 cont.varWeightedLogRatios=0.450712444403285 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.99255164185555 0.0983342733417897 50.7712262692223 1.09729811709246e-162 *** df.mm.trans1 -1.00976925381039 0.0819259442858438 -12.3253904805448 3.36043239273901e-29 *** df.mm.trans2 -0.122043671989994 0.0819259442858438 -1.48968282335786 0.137215989148874 df.mm.exp2 -0.660216571954682 0.112876740850607 -5.84900456001369 1.14323555324893e-08 *** df.mm.exp3 -0.599300672176055 0.112876740850607 -5.30933713765916 1.96853739401464e-07 *** df.mm.exp4 -0.487291926435733 0.112876740850607 -4.31702689822227 2.06601298056422e-05 *** df.mm.exp5 0.00457520707888046 0.112876740850607 0.0405327709181096 0.967691691814677 df.mm.exp6 -0.630190426485909 0.112876740850607 -5.58299629965372 4.77561000078889e-08 *** df.mm.exp7 -0.414203998665065 0.112876740850607 -3.66952478910840 0.000281183502615722 *** df.mm.exp8 -0.565900064726382 0.112876740850607 -5.0134337726437 8.54375120521167e-07 *** df.mm.trans1:exp2 0.65485304537123 0.0953982577897784 6.86441304635016 3.08701081814788e-11 *** df.mm.trans2:exp2 0.440374211340993 0.0953982577897784 4.61616618105764 5.51174052738645e-06 *** df.mm.trans1:exp3 0.510227396617428 0.0953982577897784 5.34839323524939 1.61377554933845e-07 *** df.mm.trans2:exp3 0.22879232075377 0.0953982577897783 2.39828615379897 0.0169995126410806 * df.mm.trans1:exp4 0.425832782285568 0.0953982577897784 4.4637375162966 1.09039920757299e-05 *** df.mm.trans2:exp4 0.0516737699866552 0.0953982577897784 0.541663665394442 0.588397841028067 df.mm.trans1:exp5 -0.0139937079685718 0.0953982577897783 -0.146687248727420 0.883464067534083 df.mm.trans2:exp5 0.0134225194006510 0.0953982577897783 0.140699837833823 0.888188712600941 df.mm.trans1:exp6 0.630276595552862 0.0953982577897784 6.6067935636912 1.47913567412503e-10 *** df.mm.trans2:exp6 0.503805895380432 0.0953982577897783 5.28108067225536 2.27127332099848e-07 *** df.mm.trans1:exp7 0.398832139210958 0.0953982577897784 4.18070673879425 3.68343595243591e-05 *** df.mm.trans2:exp7 0.107768464721473 0.0953982577897784 1.12966910736414 0.259395970387359 df.mm.trans1:exp8 0.559647756425155 0.0953982577897784 5.86643581750105 1.03913340595777e-08 *** df.mm.trans2:exp8 0.299971113801538 0.0953982577897783 3.14440872141041 0.00180786248912926 ** df.mm.trans1:probe2 0.0956284589551448 0.0522517777381545 1.83014747238574 0.0680855559878437 . df.mm.trans1:probe3 -0.052534054623746 0.0522517777381545 -1.00540224462804 0.315403771155060 df.mm.trans1:probe4 -0.0507842739847831 0.0522517777381545 -0.971914759326938 0.331769950527970 df.mm.trans1:probe5 0.0103616492219014 0.0522517777381545 0.198302329038947 0.842924655368035 df.mm.trans1:probe6 -0.007691194165461 0.0522517777381545 -0.147194880220216 0.883063686235322 df.mm.trans2:probe2 -0.314142585874274 0.0522517777381545 -6.01209374059028 4.63978169768058e-09 *** df.mm.trans2:probe3 0.0621406274266451 0.0522517777381545 1.18925384200411 0.235152936528955 df.mm.trans2:probe4 0.225972717191261 0.0522517777381545 4.32468955072995 1.99904822132725e-05 *** df.mm.trans2:probe5 0.313205825032244 0.0522517777381545 5.9941659133932 5.12804444629779e-09 *** df.mm.trans2:probe6 0.351977459116218 0.0522517777381545 6.73618151099197 6.77045061661383e-11 *** df.mm.trans3:probe2 0.154232146439160 0.0522517777381545 2.95171098698406 0.00337522340410577 ** df.mm.trans3:probe3 0.142294894462452 0.0522517777381545 2.72325460725039 0.00679100542972274 ** df.mm.trans3:probe4 0.0984696478387715 0.0522517777381545 1.88452244308749 0.0603299510883674 . cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.12419611964906 0.246133734612189 16.7559157469706 1.36316530201064e-46 *** df.mm.trans1 0.21122291237518 0.205063178314405 1.03003822583560 0.303709475483481 df.mm.trans2 0.0646381326970768 0.205063178314405 0.315210820530505 0.752791062837646 df.mm.exp2 0.0725351196103325 0.282533981614374 0.256730603504305 0.797538894927037 df.mm.exp3 0.260489719191273 0.282533981614374 0.921976598010825 0.357181361211858 df.mm.exp4 0.374170954367942 0.282533981614374 1.32433965015452 0.186261874577683 df.mm.exp5 0.0375596195441548 0.282533981614374 0.132938414450334 0.894319143273535 df.mm.exp6 -0.129118663204540 0.282533981614374 -0.457002242586071 0.64795539230555 df.mm.exp7 -0.219442496787516 0.282533981614374 -0.776694171559972 0.437868341917861 df.mm.exp8 0.391608017304198 0.282533981614374 1.38605634290992 0.166619732196290 df.mm.trans1:exp2 -0.00330786131246047 0.238784796666777 -0.0138528974986485 0.988955301620698 df.mm.trans2:exp2 -0.000509985284293035 0.238784796666776 -0.00213575274226825 0.998297144438461 df.mm.trans1:exp3 -0.228306468881177 0.238784796666776 -0.956118111655903 0.339678190332632 df.mm.trans2:exp3 -0.220098689670574 0.238784796666776 -0.921744988554362 0.357302014800689 df.mm.trans1:exp4 -0.266518199565348 0.238784796666776 -1.11614392241761 0.265132837795224 df.mm.trans2:exp4 -0.296103164500361 0.238784796666776 -1.24004194837233 0.215797762903836 df.mm.trans1:exp5 -0.130262567058543 0.238784796666776 -0.545522867774218 0.585744449281663 df.mm.trans2:exp5 0.140359692417387 0.238784796666776 0.587808329410766 0.557043280768029 df.mm.trans1:exp6 0.0269170876654963 0.238784796666776 0.112725299270452 0.91031352673482 df.mm.trans2:exp6 0.153352124670333 0.238784796666776 0.642218963732166 0.521155074984885 df.mm.trans1:exp7 0.126578136824151 0.238784796666776 0.530092948089949 0.596386514630927 df.mm.trans2:exp7 0.0855603933706165 0.238784796666776 0.358315916946822 0.720324790437473 df.mm.trans1:exp8 -0.489246839106611 0.238784796666776 -2.04890280259071 0.0412233544382247 * df.mm.trans2:exp8 -0.113287754877914 0.238784796666776 -0.474434538795225 0.635488487711282 df.mm.trans1:probe2 -0.0799600210325633 0.130787819523678 -0.611372078254484 0.541353588374192 df.mm.trans1:probe3 -0.0156385181469660 0.130787819523678 -0.119571671153481 0.904891657828773 df.mm.trans1:probe4 -0.0412686436944428 0.130787819523678 -0.315538892266428 0.752542212004035 df.mm.trans1:probe5 -0.0830030144516408 0.130787819523678 -0.63463872059289 0.526082265697131 df.mm.trans1:probe6 -0.012210139716252 0.130787819523678 -0.0933583858246179 0.925672728709953 df.mm.trans2:probe2 -0.0646826149381521 0.130787819523678 -0.49456145972708 0.621222675183619 df.mm.trans2:probe3 0.0802533362990132 0.130787819523678 0.613614758555434 0.539871952599047 df.mm.trans2:probe4 0.0671171896627867 0.130787819523678 0.513176149791501 0.608154664448168 df.mm.trans2:probe5 0.0684618425897031 0.130787819523678 0.523457328358539 0.600990160957781 df.mm.trans2:probe6 0.0786393094796567 0.130787819523678 0.601273954761665 0.548050116355128 df.mm.trans3:probe2 -0.0531109017978996 0.130787819523678 -0.406084465597230 0.684930844161392 df.mm.trans3:probe3 0.0714527730948211 0.130787819523678 0.546325899116968 0.585193027557313 df.mm.trans3:probe4 0.0823159172202584 0.130787819523678 0.629385194432085 0.529511054483807