chr16.8965_chr16_4461655_4461984_+_0.R fitVsDatCorrelation=0.931863363841211 cont.fitVsDatCorrelation=0.369681186978211 fstatistic=10473.4692032359,40,416 cont.fstatistic=1588.04953412884,40,416 residuals=-0.656043177973838,-0.0842455850933955,-0.00629219304234606,0.079801916232059,0.679043069985493 cont.residuals=-0.906367157646633,-0.244132954066799,-0.0367473113249794,0.212790718069152,1.32202983000672 predictedValues: Include Exclude Both chr16.8965_chr16_4461655_4461984_+_0.R.tl.Lung 82.4267538695638 105.660554575378 59.4768990792385 chr16.8965_chr16_4461655_4461984_+_0.R.tl.cerebhem 61.625408654885 66.0709493391684 64.1584576142851 chr16.8965_chr16_4461655_4461984_+_0.R.tl.cortex 78.4566393204342 82.536880082087 51.7693234309249 chr16.8965_chr16_4461655_4461984_+_0.R.tl.heart 90.4718861073428 98.1612435010933 55.8121772151075 chr16.8965_chr16_4461655_4461984_+_0.R.tl.kidney 98.7627670286683 134.859871184659 61.578119279693 chr16.8965_chr16_4461655_4461984_+_0.R.tl.liver 101.946899659918 107.011098656681 58.3531945003404 chr16.8965_chr16_4461655_4461984_+_0.R.tl.stomach 88.0785123700129 118.464578306001 70.1170712144121 chr16.8965_chr16_4461655_4461984_+_0.R.tl.testicle 89.7282417171088 91.3361329387526 57.6722649051355 diffExp=-23.2338007058144,-4.44554068428339,-4.08024076165276,-7.6893573937505,-36.0971041559907,-5.06419899676355,-30.3860659359883,-1.60789122164373 diffExpScore=0.991197508531652 diffExp1.5=0,0,0,0,0,0,0,0 diffExp1.5Score=0 diffExp1.4=0,0,0,0,0,0,0,0 diffExp1.4Score=0 diffExp1.3=0,0,0,0,-1,0,-1,0 diffExp1.3Score=0.666666666666667 diffExp1.2=-1,0,0,0,-1,0,-1,0 diffExp1.2Score=0.75 cont.predictedValues: Include Exclude Both Lung 64.9530026605108 80.6384993962455 75.9709802516192 cerebhem 100.423786173444 87.642241655391 85.8741802645635 cortex 67.1667299811525 61.8983991431445 83.4332796235967 heart 73.9902555483367 70.4636855391781 81.0816600640671 kidney 94.2771104470556 78.3097880214744 74.375428901985 liver 72.8845593313797 75.4108348237712 84.6329887181897 stomach 76.7544049573947 90.1572588320982 74.2296704487294 testicle 84.643285724776 76.1766937084405 80.3974553587316 cont.diffExp=-15.6854967357347,12.7815445180525,5.26833083800797,3.52657000915862,15.9673224255812,-2.52627549239153,-13.4028538747035,8.46659201633547 cont.diffExpScore=5.0419802914787 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=-1,0,0,0,1,0,0,0 cont.diffExp1.2Score=2 tran.correlation=0.792293270069768 cont.tran.correlation=0.475424074112101 tran.covariance=0.0292744534507524 cont.tran.covariance=0.00895729587459782 tran.mean=93.4749010819847 cont.tran.mean=78.486908496487 weightedLogRatios: wLogRatio Lung -1.12640425100623 cerebhem -0.28947888042558 cortex -0.222462439764390 heart -0.370813501992104 kidney -1.47922495825074 liver -0.225370782475646 stomach -1.37120370881412 testicle -0.0800247016381872 cont.weightedLogRatios: wLogRatio Lung -0.92621002120695 cerebhem 0.618238653659307 cortex 0.340321829299655 heart 0.208994092437992 kidney 0.82640915627206 liver -0.146720365093915 stomach -0.71154984149092 testicle 0.462215264681355 varWeightedLogRatios=0.332921045201046 cont.varWeightedLogRatios=0.395372742415414 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.12589974372378 0.0741500792793246 69.1287156203088 3.49641006722583e-230 *** df.mm.trans1 -0.728420525497267 0.0601436561882537 -12.111344265757 3.95777608527022e-29 *** df.mm.trans2 -0.451783937313635 0.0601436561882537 -7.51174713920818 3.59854492586073e-13 *** df.mm.exp2 -0.83610622641613 0.0813290670758907 -10.2805338420510 3.05170904312411e-22 *** df.mm.exp3 -0.157560151604740 0.0813290670758907 -1.93731659872252 0.0533832408333094 . df.mm.exp4 0.0831048237750186 0.0813290670758907 1.02183421946142 0.307453225966086 df.mm.exp5 0.390096607870501 0.0813290670758907 4.79652136555912 2.25306781610528e-06 *** df.mm.exp6 0.244316815443499 0.0813290670758907 3.0040528463891 0.00282506794027515 ** df.mm.exp7 0.0161225892843318 0.0813290670758907 0.198238955197743 0.842954948854195 df.mm.exp8 -0.0299980657854398 0.0813290670758907 -0.368848025238598 0.712428653109239 df.mm.trans1:exp2 0.545270422973187 0.0655695901194492 8.31590409486865 1.31076876196066e-15 *** df.mm.trans2:exp2 0.366603740641001 0.0655695901194493 5.59106347886502 4.09230311494524e-08 *** df.mm.trans1:exp3 0.108196191337979 0.0655695901194492 1.65009711271453 0.099677856991837 . df.mm.trans2:exp3 -0.089426264046293 0.0655695901194493 -1.36383747227005 0.173356213573568 df.mm.trans1:exp4 0.0100242608209288 0.0655695901194492 0.152879723705264 0.878567250604232 df.mm.trans2:exp4 -0.156724995749525 0.0655695901194493 -2.39020856259764 0.0172829135226651 * df.mm.trans1:exp5 -0.209285993180171 0.0655695901194492 -3.1918148763613 0.00152110757387431 ** df.mm.trans2:exp5 -0.146092000143758 0.0655695901194493 -2.22804504157522 0.0264114715830917 * df.mm.trans1:exp6 -0.0317747963839019 0.0655695901194493 -0.484596538212565 0.628217618098903 df.mm.trans2:exp6 -0.231615900998332 0.0655695901194493 -3.53236768106058 0.00045798041323607 *** df.mm.trans1:exp7 0.0501959463549651 0.0655695901194492 0.765536985415377 0.444385959867694 df.mm.trans2:exp7 0.098259768956283 0.0655695901194493 1.49855701060936 0.134747019816702 df.mm.trans1:exp8 0.114873564540661 0.0655695901194493 1.75193354619716 0.0805220559797723 . df.mm.trans2:exp8 -0.115687104751272 0.0655695901194493 -1.76434082538144 0.0784084545029396 . df.mm.trans1:probe2 0.411178181299328 0.0416687473084039 9.86778359944602 8.91486870785852e-21 *** df.mm.trans1:probe3 -0.200055921153833 0.0416687473084039 -4.80110236271693 2.20477799479516e-06 *** df.mm.trans1:probe4 0.120868787217116 0.0416687473084039 2.90070604528921 0.00392078153161874 ** df.mm.trans1:probe5 0.0378983341225178 0.0416687473084039 0.909514601963432 0.363605194974013 df.mm.trans1:probe6 -0.182288346124618 0.0416687473084039 -4.37470185449644 1.5391143603804e-05 *** df.mm.trans2:probe2 0.601682051499216 0.0416687473084039 14.4396481863487 1.34419239363625e-38 *** df.mm.trans2:probe3 -0.255558029928255 0.0416687473084039 -6.1330864601421 2.00660144420626e-09 *** df.mm.trans2:probe4 -0.0675415785782634 0.0416687473084039 -1.62091694473957 0.105793142414987 df.mm.trans2:probe5 0.0191290038888476 0.0416687473084039 0.459073169329226 0.646421397763056 df.mm.trans2:probe6 -0.478205605000843 0.0416687473084039 -11.4763614433016 1.12659899135208e-26 *** df.mm.trans3:probe2 0.203275256680224 0.0416687473084039 4.87836255733146 1.52601893851326e-06 *** df.mm.trans3:probe3 0.222390091691817 0.0416687473084039 5.33709569058641 1.5557323234634e-07 *** df.mm.trans3:probe4 0.127484522627763 0.0416687473084039 3.05947576691491 0.00236069901829698 ** df.mm.trans3:probe5 -0.108274301669418 0.0416687473084039 -2.59845348524746 0.00969705801498575 ** df.mm.trans3:probe6 0.100665534670735 0.0416687473084039 2.41585219554781 0.016128356455261 * df.mm.trans3:probe7 0.433707834364188 0.0416687473084039 10.4084682736962 1.05490103642676e-22 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.322492431522 0.189899119926226 22.7620456229668 4.44472220755051e-75 *** df.mm.trans1 -0.182064422592175 0.154028525529567 -1.18201756438437 0.237873939024158 df.mm.trans2 0.109475129540732 0.154028525529567 0.71074581259766 0.477640045526166 df.mm.exp2 0.396490241568687 0.208284581921398 1.90359861450673 0.057652327017518 . df.mm.exp3 -0.324663652574530 0.208284581921398 -1.55875029048982 0.119815899503923 df.mm.exp4 -0.069714653928787 0.208284581921398 -0.334708662953726 0.738013560176878 df.mm.exp5 0.364496660926131 0.208284581921398 1.74999348278061 0.0808567099546289 . df.mm.exp6 -0.0597850944150373 0.208284581921398 -0.287035621472927 0.774227959746293 df.mm.exp7 0.301713563491422 0.208284581921398 1.44856407857055 0.148212665147896 df.mm.exp8 0.151230081216975 0.208284581921398 0.726074296147592 0.468201525018487 df.mm.trans1:exp2 0.0392448793204481 0.167924398444692 0.233705641847953 0.815328469604375 df.mm.trans2:exp2 -0.313203344646972 0.167924398444692 -1.86514495539569 0.0628649001653603 . df.mm.trans1:exp3 0.358177715553237 0.167924398444692 2.13297006790355 0.0335119382996732 * df.mm.trans2:exp3 0.0601817744735079 0.167924398444692 0.358386125130766 0.720236168227232 df.mm.trans1:exp4 0.199984084296008 0.167924398444692 1.19091737798826 0.234365097404209 df.mm.trans2:exp4 -0.065164063169385 0.167924398444692 -0.388055957162459 0.698173120684578 df.mm.trans1:exp5 0.00807779565406684 0.167924398444692 0.048103764127685 0.96165663166591 df.mm.trans2:exp5 -0.393800254554505 0.167924398444692 -2.34510445296732 0.0194909199605144 * df.mm.trans1:exp6 0.174997932454737 0.167924398444692 1.04212332499363 0.297959749153789 df.mm.trans2:exp6 -0.00724013843901469 0.167924398444692 -0.0431154644951688 0.96563017859868 df.mm.trans1:exp7 -0.134766757476282 0.167924398444692 -0.802544232550399 0.422696457704202 df.mm.trans2:exp7 -0.190134293065192 0.167924398444692 -1.13226127249052 0.258176816821098 df.mm.trans1:exp8 0.113551733752346 0.167924398444692 0.676207476722008 0.49928469223608 df.mm.trans2:exp8 -0.208150717625135 0.167924398444692 -1.23955017587091 0.215840629747635 df.mm.trans1:probe2 -0.0297150591598647 0.106714092812852 -0.278454872984554 0.7808015577894 df.mm.trans1:probe3 0.153748991912302 0.106714092812852 1.44075620997815 0.150405790715477 df.mm.trans1:probe4 0.192616532702486 0.106714092812852 1.80497746478793 0.0718011556096986 . df.mm.trans1:probe5 0.118435398718134 0.106714092812852 1.10983840649649 0.267709793969197 df.mm.trans1:probe6 -0.00301833923096576 0.106714092812852 -0.0282843544971994 0.97744892253118 df.mm.trans2:probe2 -0.0922372222432557 0.106714092812852 -0.864339655728647 0.387899439905647 df.mm.trans2:probe3 -0.133869011084136 0.106714092812852 -1.25446421888162 0.210377692011618 df.mm.trans2:probe4 -0.0081513779304402 0.106714092812852 -0.0763852056985156 0.939149361178455 df.mm.trans2:probe5 -0.0706264170579967 0.106714092812852 -0.661828397696791 0.508447634926358 df.mm.trans2:probe6 -0.241003724358396 0.106714092812852 -2.25840578320852 0.0244376644476207 * df.mm.trans3:probe2 0.0816124963708383 0.106714092812852 0.764777118182175 0.444837887179887 df.mm.trans3:probe3 0.130953984369345 0.106714092812852 1.22714798877598 0.220460982820689 df.mm.trans3:probe4 0.0382415402371521 0.106714092812852 0.358355107832078 0.720259359906919 df.mm.trans3:probe5 0.0260848502855053 0.106714092812852 0.24443678991163 0.807013067675276 df.mm.trans3:probe6 0.0807289274987113 0.106714092812852 0.756497341361352 0.449779264370419 df.mm.trans3:probe7 0.205516231954524 0.106714092812852 1.92585839918017 0.0548032517813416 .