chrX.25521_chrX_114196310_114197094_-_0.R fitVsDatCorrelation=0.958147731887752 cont.fitVsDatCorrelation=0.249165688206052 fstatistic=8799.43708442884,39,393 cont.fstatistic=759.677593226556,39,393 residuals=-0.514879134866557,-0.096539156663021,-0.00322948013153646,0.0912232640301541,0.616912078751262 cont.residuals=-0.84249347330936,-0.381901168543959,-0.18241853216512,0.473015398210528,1.20551383825961 predictedValues: Include Exclude Both chrX.25521_chrX_114196310_114197094_-_0.R.tl.Lung 56.6143094798714 200.218642605579 55.5573733437532 chrX.25521_chrX_114196310_114197094_-_0.R.tl.cerebhem 58.7384809777947 104.215354419706 58.4558793821401 chrX.25521_chrX_114196310_114197094_-_0.R.tl.cortex 71.3322090336959 135.80360338172 74.433533065171 chrX.25521_chrX_114196310_114197094_-_0.R.tl.heart 58.6388917727932 182.101919483270 54.4769554003688 chrX.25521_chrX_114196310_114197094_-_0.R.tl.kidney 58.5801921162098 176.512079198579 53.0603143777877 chrX.25521_chrX_114196310_114197094_-_0.R.tl.liver 57.1089177194522 177.358326415985 53.9715376823577 chrX.25521_chrX_114196310_114197094_-_0.R.tl.stomach 56.8080056465574 181.256792169139 51.7398721991193 chrX.25521_chrX_114196310_114197094_-_0.R.tl.testicle 56.4141500936147 164.752052688239 51.2831688438541 diffExp=-143.604333125707,-45.4768734419109,-64.4713943480241,-123.463027710476,-117.931887082369,-120.249408696533,-124.448786522581,-108.337902594625 diffExpScore=0.998822120964324 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 74.379081957821 84.0686682070114 96.9999753875616 cerebhem 74.0304554443713 77.7177863932888 86.791312843452 cortex 63.8012832300775 84.6538844592672 75.4777240237455 heart 83.9944839377865 73.4983961964825 85.7280095643092 kidney 78.1864793490388 78.2590550992985 78.0335111968679 liver 95.26922759634 93.4338202195828 91.0759320934783 stomach 78.9854806284502 85.2094526408402 74.2570317926004 testicle 71.1239888334678 86.9338679039194 88.9953699321086 cont.diffExp=-9.68958624919034,-3.68733094891749,-20.8526012291898,10.4960877413040,-0.0725757502596736,1.83540737675726,-6.22397201238999,-15.8098790704516 cont.diffExpScore=1.52579223079679 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,-1,0,0,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,-1,0,0,0,0,-1 cont.diffExp1.2Score=0.666666666666667 tran.correlation=-0.465740582970624 cont.tran.correlation=0.222484163592575 tran.covariance=-0.00708350690761584 cont.tran.covariance=0.00130916726495441 tran.mean=112.278370450138 cont.tran.mean=80.2215882560653 weightedLogRatios: wLogRatio Lung -5.89616853936302 cerebhem -2.4997411149122 cortex -2.95486127327397 heart -5.25561488675921 kidney -5.09791415783469 liver -5.22588145947281 stomach -5.36006060879299 testicle -4.89624683032676 cont.weightedLogRatios: wLogRatio Lung -0.535196209754615 cerebhem -0.210411510125174 cortex -1.2152303683369 heart 0.582540623068859 kidney -0.00404483781474423 liver 0.088454575986993 stomach -0.334277857392516 testicle -0.876113042385627 varWeightedLogRatios=1.50198304203427 cont.varWeightedLogRatios=0.321439471976819 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.35426590928782 0.0817413371448408 65.5025486040236 1.42199356242011e-213 *** df.mm.trans1 -1.33601264344317 0.0667415222992231 -20.0177130730313 5.84143049746363e-62 *** df.mm.trans2 -0.0335720196269068 0.0667415222992231 -0.503015491261841 0.615235162618774 df.mm.exp2 -0.666973244651965 0.0906838715079117 -7.35492688568964 1.12206960699441e-12 *** df.mm.exp3 -0.44960435190974 0.0906838715079116 -4.95793071506122 1.06174151771258e-06 *** df.mm.exp4 -0.0400686021245886 0.0906838715079117 -0.441849266670235 0.658841313068306 df.mm.exp5 -0.0458988539136497 0.0906838715079117 -0.50614131433113 0.613041247737976 df.mm.exp6 -0.0835799294200996 0.0906838715079116 -0.921662562816452 0.357270053153399 df.mm.exp7 -0.0248921919861910 0.0906838715079117 -0.27449414733048 0.783849132566422 df.mm.exp8 -0.118456470328154 0.0906838715079116 -1.30625731299770 0.192229051497189 df.mm.trans1:exp2 0.703806539067521 0.0740430710314991 9.505366663791 2.01524410781630e-19 *** df.mm.trans2:exp2 0.0140227359372795 0.0740430710314991 0.189386201057408 0.849887909556566 df.mm.trans1:exp3 0.680690546007694 0.0740430710314991 9.19317009039397 2.25331994492799e-18 *** df.mm.trans2:exp3 0.0614041187036979 0.0740430710314991 0.829302699743175 0.40743655817144 df.mm.trans1:exp4 0.0752049897758356 0.0740430710314991 1.01569247099222 0.310400738540189 df.mm.trans2:exp4 -0.0547748528314065 0.0740430710314991 -0.739770137412377 0.459881146729501 df.mm.trans1:exp5 0.0800337039390659 0.0740430710314991 1.08090740732537 0.280401148345873 df.mm.trans2:exp5 -0.0801218171227287 0.0740430710314991 -1.0820974333796 0.279872743931665 df.mm.trans1:exp6 0.0922784401892931 0.0740430710314991 1.2462805621614 0.213403777653738 df.mm.trans2:exp6 -0.0376579238549646 0.0740430710314991 -0.508594839872921 0.611321630264173 df.mm.trans1:exp7 0.0283076813414916 0.0740430710314991 0.382313712102096 0.70243534629876 df.mm.trans2:exp7 -0.0746030233982466 0.0740430710314991 -1.00756252217725 0.314284471832423 df.mm.trans1:exp8 0.114914714627937 0.0740430710314991 1.55199822248122 0.121467543267640 df.mm.trans2:exp8 -0.0765118794078807 0.0740430710314991 -1.03334286844114 0.302078932772200 df.mm.trans1:probe2 0.0587961007876947 0.0453419357539558 1.29672674556170 0.195486056999864 df.mm.trans1:probe3 0.0401392318664489 0.0453419357539558 0.88525624676152 0.376559753269775 df.mm.trans1:probe4 -0.00354093413329299 0.0453419357539558 -0.0780940221102946 0.937793007330488 df.mm.trans1:probe5 0.143109910163207 0.0453419357539558 3.15623732828216 0.00172138040141179 ** df.mm.trans1:probe6 -0.0224022477593882 0.0453419357539558 -0.494073474960402 0.62153032194319 df.mm.trans2:probe2 0.163154768723619 0.0453419357539558 3.5983194367564 0.000361180419491578 *** df.mm.trans2:probe3 -0.139006934770255 0.0453419357539558 -3.06574768939209 0.00232125932127200 ** df.mm.trans2:probe4 -0.213546788041167 0.0453419357539558 -4.70969720392973 3.44619657779971e-06 *** df.mm.trans2:probe5 -0.00424751369301918 0.0453419357539558 -0.0936773788412552 0.925413179142107 df.mm.trans2:probe6 -0.0617604187055378 0.0453419357539558 -1.36210370551172 0.173945342252097 df.mm.trans3:probe2 0.097499216505087 0.0453419357539558 2.15030996987332 0.032140169467961 * df.mm.trans3:probe3 -0.0284873180538013 0.0453419357539558 -0.628277500289915 0.530187107413101 df.mm.trans3:probe4 -0.0238179479502287 0.0453419357539558 -0.525296230833082 0.599673505514973 df.mm.trans3:probe5 0.000133305525181951 0.0453419357539558 0.00294000516222602 0.997655710412296 df.mm.trans3:probe6 0.151082711096701 0.0453419357539558 3.33207457036107 0.000943699644603712 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.23338630222796 0.276529577509284 15.3089819192518 7.97749382317255e-42 *** df.mm.trans1 0.0165143224836124 0.225785454561719 0.0731416579321685 0.941730602951476 df.mm.trans2 0.256506032863904 0.225785454561719 1.13606092722765 0.256623362886614 df.mm.exp2 0.0279562120707040 0.306782021812959 0.0911272828358519 0.92743788278849 df.mm.exp3 0.104408768191071 0.306782021812959 0.340335354640592 0.733785834905049 df.mm.exp4 0.110737145272661 0.306782021812960 0.360963607379104 0.718320605279732 df.mm.exp5 0.195884947339058 0.306782021812960 0.638515080451767 0.523510353586943 df.mm.exp6 0.416168696910851 0.306782021812959 1.35656155615463 0.175699314737948 df.mm.exp7 0.340745978152278 0.306782021812959 1.11071038693403 0.267372118512751 df.mm.exp8 0.0748900564117428 0.306782021812959 0.244114879904541 0.807269238634229 df.mm.trans1:exp2 -0.0326543893013266 0.250486471900376 -0.130363883740252 0.896345240392278 df.mm.trans2:exp2 -0.106506013327237 0.250486471900376 -0.42519666838374 0.670926031468078 df.mm.trans1:exp3 -0.257810210544752 0.250486471900377 -1.02923806059789 0.304000840794028 df.mm.trans2:exp3 -0.0974717157359657 0.250486471900377 -0.389129660362385 0.697390988858642 df.mm.trans1:exp4 0.0108392381808975 0.250486471900376 0.0432727488181816 0.96550609119496 df.mm.trans2:exp4 -0.245107503292483 0.250486471900377 -0.978525911730544 0.328416246550673 df.mm.trans1:exp5 -0.145962958912575 0.250486471900376 -0.582717932051147 0.560417385431063 df.mm.trans2:exp5 -0.267494348039544 0.250486471900377 -1.06789937999499 0.286221429024138 df.mm.trans1:exp6 -0.168636584573691 0.250486471900376 -0.673236296133235 0.501192676226282 df.mm.trans2:exp6 -0.310549259911205 0.250486471900376 -1.23978455824439 0.215794865686526 df.mm.trans1:exp7 -0.280656677916159 0.250486471900377 -1.12044644881174 0.263207790429932 df.mm.trans2:exp7 -0.327267547526902 0.250486471900376 -1.30652783379480 0.192137190952642 df.mm.trans1:exp8 -0.119640126645210 0.250486471900377 -0.477631090164394 0.633178331735873 df.mm.trans2:exp8 -0.0413763093892566 0.250486471900376 -0.165183808432229 0.868884242878017 df.mm.trans1:probe2 0.0779729423598128 0.153391010906480 0.508327977624137 0.611508563644826 df.mm.trans1:probe3 0.177768047448926 0.153391010906480 1.15892089372375 0.247192127871586 df.mm.trans1:probe4 0.0083811271559858 0.153391010906480 0.0546389720392133 0.956453854909778 df.mm.trans1:probe5 0.322614246042899 0.153391010906480 2.10321481119641 0.0360822091623964 * df.mm.trans1:probe6 0.124553090368524 0.153391010906480 0.811997323913997 0.417284717427901 df.mm.trans2:probe2 -0.102463303492290 0.153391010906480 -0.667987666857219 0.504533559904695 df.mm.trans2:probe3 -0.0214052179626442 0.153391010906480 -0.139546755941876 0.889089596307727 df.mm.trans2:probe4 -0.153490072147281 0.153391010906480 -1.0006458086443 0.317613782041431 df.mm.trans2:probe5 -0.21099762228128 0.153391010906480 -1.37555402389207 0.169743245121775 df.mm.trans2:probe6 -0.210744482684599 0.153391010906480 -1.37390373424872 0.170254672236077 df.mm.trans3:probe2 0.110990506624448 0.153391010906480 0.723578950086701 0.469754724348483 df.mm.trans3:probe3 0.0717568416379428 0.153391010906480 0.46780343394237 0.640184469528443 df.mm.trans3:probe4 -0.00349662855444607 0.153391010906480 -0.0227955245472495 0.981824947403076 df.mm.trans3:probe5 0.0633026650729013 0.153391010906480 0.412688231851448 0.6800600928042 df.mm.trans3:probe6 0.167271018367527 0.153391010906480 1.09048775009058 0.276166494255560