chr16.9438_chr16_38375159_38376052_-_0.R fitVsDatCorrelation=0.847703636393317 cont.fitVsDatCorrelation=0.275920420983472 fstatistic=10905.4139777820,37,347 cont.fstatistic=3315.13004490918,37,347 residuals=-0.401458462897023,-0.0698106291471331,-0.00119256600667334,0.0798965129840588,0.436818850870052 cont.residuals=-0.507393729308006,-0.156085870441127,-0.0264156896903105,0.134110009619033,0.676810889105607 predictedValues: Include Exclude Both chr16.9438_chr16_38375159_38376052_-_0.R.tl.Lung 50.699240674089 63.981665241734 65.6585868377602 chr16.9438_chr16_38375159_38376052_-_0.R.tl.cerebhem 60.8413486951307 55.0650580757313 64.6080897708838 chr16.9438_chr16_38375159_38376052_-_0.R.tl.cortex 54.2130813163058 68.1420218819341 70.1531788088832 chr16.9438_chr16_38375159_38376052_-_0.R.tl.heart 48.6046537572634 67.0766886004026 59.9635588289439 chr16.9438_chr16_38375159_38376052_-_0.R.tl.kidney 49.0138462123081 62.4236261572399 61.9417660865472 chr16.9438_chr16_38375159_38376052_-_0.R.tl.liver 53.6959975825891 65.2671611519723 55.7332184537187 chr16.9438_chr16_38375159_38376052_-_0.R.tl.stomach 49.6919387521755 78.2300166264884 61.1460677127383 chr16.9438_chr16_38375159_38376052_-_0.R.tl.testicle 50.9311353702427 60.2274684843897 59.546054227026 diffExp=-13.2824245676450,5.77629061939945,-13.9289405656283,-18.4720348431392,-13.4097799449319,-11.5711635693832,-28.5380778743128,-9.29633311414702 diffExpScore=1.10173862870307 diffExp1.5=0,0,0,0,0,0,-1,0 diffExp1.5Score=0.5 diffExp1.4=0,0,0,0,0,0,-1,0 diffExp1.4Score=0.5 diffExp1.3=0,0,0,-1,0,0,-1,0 diffExp1.3Score=0.666666666666667 diffExp1.2=-1,0,-1,-1,-1,-1,-1,0 diffExp1.2Score=0.857142857142857 cont.predictedValues: Include Exclude Both Lung 65.2854130244007 54.7879915870169 58.9064459081976 cerebhem 55.9024336189291 58.9250295091803 62.6770784630157 cortex 60.4640389517442 55.7697178274215 58.0194698673738 heart 57.9720507707067 60.9167479814159 62.0379431961508 kidney 58.2607278529354 60.0026609571995 60.9343590931658 liver 60.4408201147316 56.9574120849774 56.9764921409467 stomach 55.175790958983 56.3000338549561 60.1703872726259 testicle 60.0634758856061 65.0896009299196 62.1837198980979 cont.diffExp=10.4974214373839,-3.02259589025124,4.69432112432272,-2.94469721070912,-1.74193310426407,3.48340802975413,-1.12424289597315,-5.02612504431344 cont.diffExpScore=5.59443366070857 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=0,0,0,0,0,0,0,0 cont.diffExp1.3Score=0 cont.diffExp1.2=0,0,0,0,0,0,0,0 cont.diffExp1.2Score=0 tran.correlation=-0.545324677282035 cont.tran.correlation=-0.255601580288364 tran.covariance=-0.00429403883818999 cont.tran.covariance=-0.00077166941033559 tran.mean=58.6315592862498 cont.tran.mean=58.8946216193827 weightedLogRatios: wLogRatio Lung -0.940574352120798 cerebhem 0.404842000274714 cortex -0.93921433063373 heart -1.30289289696899 kidney -0.970513551613483 liver -0.796392569209336 stomach -1.87548527981831 testicle -0.67301411034535 cont.weightedLogRatios: wLogRatio Lung 0.717163443023858 cerebhem -0.213261721437281 cortex 0.328252639553425 heart -0.202386890155527 kidney -0.120189458289198 liver 0.241716546012488 stomach -0.0810991112967526 testicle -0.33234731562475 varWeightedLogRatios=0.412213654781035 cont.varWeightedLogRatios=0.126307249008295 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.545896375726 0.0684853388325615 51.7759922951581 2.69457891185353e-165 *** df.mm.trans1 0.403224783211744 0.0570576856157959 7.06696703274826 8.73681922122428e-12 *** df.mm.trans2 0.577481488784902 0.0570576856157959 10.1210114387295 2.87034002086842e-21 *** df.mm.exp2 0.0484062577984424 0.0786135045367118 0.615749903069607 0.538463257432884 df.mm.exp3 0.0637960903680464 0.0786135045367117 0.811515664439743 0.417625898775687 df.mm.exp4 0.0957797226505667 0.0786135045367117 1.21836220398797 0.223914071191079 df.mm.exp5 -0.000187130954774948 0.0786135045367117 -0.00238039196799272 0.998102091657457 df.mm.exp6 0.241212026923149 0.0786135045367117 3.06832812434288 0.00232196256558346 ** df.mm.exp7 0.252191479622396 0.0786135045367117 3.20799182161666 0.00146113857288602 ** df.mm.exp8 0.0418138290554868 0.0786135045367117 0.53189117190368 0.595141730219746 df.mm.trans1:exp2 0.133952443605947 0.0664405378383215 2.01612521457775 0.0445570990130856 * df.mm.trans2:exp2 -0.198487459224498 0.0664405378383215 -2.98744510027152 0.0030134209616664 ** df.mm.trans1:exp3 0.00321520801348990 0.0664405378383215 0.0483922634900081 0.961431465394667 df.mm.trans2:exp3 -0.000798567826324203 0.0664405378383215 -0.0120192860007766 0.990417135388678 df.mm.trans1:exp4 -0.137971373648727 0.0664405378383215 -2.07661434024618 0.0385727237389880 * df.mm.trans2:exp4 -0.0485397135637932 0.0664405378383215 -0.730573760283387 0.465532514526242 df.mm.trans1:exp5 -0.0336209687327768 0.0664405378383215 -0.506030953791964 0.613156242483723 df.mm.trans2:exp5 -0.0244656027335593 0.0664405378383215 -0.368233062668678 0.712923991028319 df.mm.trans1:exp6 -0.183784494741281 0.0664405378383215 -2.76615001504816 0.00597586240883674 ** df.mm.trans2:exp6 -0.221319570858269 0.0664405378383215 -3.33109240320773 0.00095813403595421 *** df.mm.trans1:exp7 -0.272259691463273 0.0664405378383215 -4.097794815054 5.19727741636361e-05 *** df.mm.trans2:exp7 -0.0511346231103827 0.0664405378383215 -0.76962987919838 0.442043060671414 df.mm.trans1:exp8 -0.0372503292904842 0.0664405378383215 -0.5606566488238 0.575393444259515 df.mm.trans2:exp8 -0.102281855410275 0.0664405378383215 -1.53944953996566 0.124605956727563 df.mm.trans1:probe2 -0.122396376630280 0.0363909813068242 -3.3633711495251 0.000855953562879453 *** df.mm.trans1:probe3 -0.0545279535495515 0.0363909813068242 -1.49839195293495 0.134940583391869 df.mm.trans1:probe4 0.0258329402155191 0.0363909813068242 0.70987204213355 0.478260238662862 df.mm.trans1:probe5 -0.137384587821121 0.0363909813068242 -3.77523723976517 0.000187992359655698 *** df.mm.trans1:probe6 0.0563737248335464 0.0363909813068242 1.54911252209005 0.122266197198693 df.mm.trans2:probe2 0.139816789733574 0.0363909813068242 3.84207253315686 0.000145047797325902 *** df.mm.trans2:probe3 0.0666564831702092 0.0363909813068242 1.83167589266711 0.0678568134949817 . df.mm.trans2:probe4 0.144142034086118 0.0363909813068242 3.96092737568162 9.0625780463679e-05 *** df.mm.trans2:probe5 0.0725816498432445 0.0363909813068242 1.99449553809184 0.0468799093872008 * df.mm.trans2:probe6 -0.0710099847585893 0.0363909813068242 -1.95130722526774 0.0518248613156772 . df.mm.trans3:probe2 -0.276560278988402 0.0363909813068242 -7.5996928100573 2.79468920586606e-13 *** df.mm.trans3:probe3 -0.495009805306649 0.0363909813068242 -13.6025407265899 4.52771319342008e-34 *** df.mm.trans3:probe4 -0.596966948916887 0.0363909813068242 -16.4042553258914 3.56837227040453e-45 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.08718923083135 0.124091384195277 32.9369299676722 7.77549458146318e-109 *** df.mm.trans1 0.101115854601154 0.103385152322218 0.978050061637561 0.32873093353532 df.mm.trans2 -0.0998928041960439 0.103385152322218 -0.966220022433304 0.334607008529056 df.mm.exp2 -0.144411084797894 0.142443021538562 -1.01381649475049 0.311376697664352 df.mm.exp3 -0.0437879627519148 0.142443021538562 -0.307406865418539 0.758718115721096 df.mm.exp4 -0.0645661717395992 0.142443021538562 -0.453277184394182 0.650632472246215 df.mm.exp5 -0.0567691919802847 0.142443021538562 -0.398539650220185 0.690477554532173 df.mm.exp6 -0.00495936843207297 0.142443021538562 -0.0348165068285243 0.972246077026671 df.mm.exp7 -0.162250044342969 0.142443021538562 -1.13905225114201 0.255467082803376 df.mm.exp8 0.0347843606353337 0.142443021538562 0.244198418845790 0.807221474624754 df.mm.trans1:exp2 -0.0107496280886855 0.120386325709701 -0.089292766643672 0.928900756649642 df.mm.trans2:exp2 0.217205996094814 0.120386325709701 1.80424142704200 0.0720604641513707 . df.mm.trans1:exp3 -0.032931873749691 0.120386325709701 -0.27355161440098 0.784591969672224 df.mm.trans2:exp3 0.0615479552467806 0.120386325709701 0.511253706631075 0.609498562692768 df.mm.trans1:exp4 -0.0542414444430585 0.120386325709701 -0.450561507906271 0.652587001411905 df.mm.trans2:exp4 0.170603278235382 0.120386325709701 1.41713169855165 0.157341634455693 df.mm.trans1:exp5 -0.0570711907042033 0.120386325709701 -0.474067053444461 0.635750247483024 df.mm.trans2:exp5 0.147687064188294 0.120386325709701 1.22677607541927 0.220738493474325 df.mm.trans1:exp6 -0.0721445525054662 0.120386325709701 -0.599275308720984 0.549380367528405 df.mm.trans2:exp6 0.0437921622849142 0.120386325709701 0.363763592141805 0.716256081819991 df.mm.trans1:exp7 -0.00599429547973834 0.120386325709701 -0.0497921623938664 0.960316660243815 df.mm.trans2:exp7 0.189474142502455 0.120386325709701 1.57388425459010 0.116425490934115 df.mm.trans1:exp8 -0.11815105352389 0.120386325709701 -0.981432507615512 0.327063272321682 df.mm.trans2:exp8 0.137509397562267 0.120386325709701 1.14223435885780 0.254144159605976 df.mm.trans1:probe2 -0.064066944483519 0.0659383062063675 -0.971619505708993 0.331916657861305 df.mm.trans1:probe3 0.0646894739994408 0.0659383062063675 0.98106059620309 0.32724636687392 df.mm.trans1:probe4 -0.0436223194342545 0.0659383062063675 -0.661562632466316 0.508690611673132 df.mm.trans1:probe5 -0.0628312029477688 0.0659383062063675 -0.952878630990696 0.3413148436906 df.mm.trans1:probe6 0.0104664117645292 0.0659383062063675 0.158730370352135 0.873973648685665 df.mm.trans2:probe2 0.0433013798764382 0.0659383062063675 0.656695362190797 0.511812086617464 df.mm.trans2:probe3 0.0191948523406957 0.0659383062063675 0.291103206088149 0.771146310111595 df.mm.trans2:probe4 0.0734385105299646 0.0659383062063675 1.11374578382592 0.266159130250209 df.mm.trans2:probe5 -0.000844553336775921 0.0659383062063675 -0.0128082352332909 0.989788146957387 df.mm.trans2:probe6 0.0266559274100736 0.0659383062063675 0.40425556772187 0.686273840446049 df.mm.trans3:probe2 -0.0132146098887603 0.0659383062063675 -0.200408694870057 0.841278364692147 df.mm.trans3:probe3 -0.0811167080215527 0.0659383062063675 -1.23019095709983 0.21945893931585 df.mm.trans3:probe4 0.0444842843219065 0.0659383062063675 0.6746349259061 0.500356958427278