chr17.9997_chr17_45276430_45277118_+_1.R fitVsDatCorrelation=0.741619877935279 cont.fitVsDatCorrelation=0.315430751382207 fstatistic=9662.32670893113,37,347 cont.fstatistic=4823.77013774656,37,347 residuals=-0.411019013634736,-0.0782644023278008,0.00089966318276062,0.0750194920051944,0.481319697526075 cont.residuals=-0.423331819993726,-0.117274966182031,-0.0189210710015289,0.101962517124831,0.523048912874834 predictedValues: Include Exclude Both chr17.9997_chr17_45276430_45277118_+_1.R.tl.Lung 64.5847093562896 52.3279834278471 60.852916831623 chr17.9997_chr17_45276430_45277118_+_1.R.tl.cerebhem 65.3445660242732 60.3958107656345 54.8228881399857 chr17.9997_chr17_45276430_45277118_+_1.R.tl.cortex 67.4844775604472 50.6961356143205 71.449039264967 chr17.9997_chr17_45276430_45277118_+_1.R.tl.heart 56.7046244407861 47.8377930232113 56.1099953779256 chr17.9997_chr17_45276430_45277118_+_1.R.tl.kidney 64.2225821762307 51.4519270205182 58.6228138321455 chr17.9997_chr17_45276430_45277118_+_1.R.tl.liver 64.6374338792083 47.1043037938452 57.3172375956469 chr17.9997_chr17_45276430_45277118_+_1.R.tl.stomach 64.7522195124722 49.7566672159513 58.1168365937651 chr17.9997_chr17_45276430_45277118_+_1.R.tl.testicle 61.9696114577481 51.3180241765059 52.8493419032833 diffExp=12.2567259284425,4.94875525863868,16.7883419461267,8.8668314175748,12.7706551557125,17.533130085363,14.9955522965210,10.6515872812423 diffExpScore=0.989981122367608 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=0,0,1,0,0,1,1,0 diffExp1.3Score=0.75 diffExp1.2=1,0,1,0,1,1,1,1 diffExp1.2Score=0.857142857142857 cont.predictedValues: Include Exclude Both Lung 60.9953421032805 60.1684603477974 61.6693322274125 cerebhem 60.0497907222149 53.8569192148675 57.9158476002853 cortex 56.351112012305 58.1517634195338 58.3854521148507 heart 60.9788785941677 64.9090161057984 65.0390472558473 kidney 60.6872616975889 61.498592203711 56.2928193235453 liver 58.5513441859138 51.3357111033948 54.1525155664281 stomach 63.7333094035032 56.8717910541984 58.6321133231394 testicle 60.7682173949995 55.7557254482486 56.6542573797711 cont.diffExp=0.826881755483107,6.19287150734742,-1.80065140722886,-3.93013751163063,-0.81133050612209,7.21563308251902,6.8615183493048,5.01249194675086 cont.diffExpScore=1.58754684554519 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=0.353116348229848 cont.tran.correlation=0.226100991107949 tran.covariance=0.00144801032492258 cont.tran.covariance=0.000619223910536835 tran.mean=57.5368043403306 cont.tran.mean=59.0414521882202 weightedLogRatios: wLogRatio Lung 0.854992061648156 cerebhem 0.326067188403273 cortex 1.16389285316684 heart 0.672139385830323 kidney 0.898246142499974 liver 1.26906488886428 stomach 1.06392967941502 testicle 0.760508325683654 cont.weightedLogRatios: wLogRatio Lung 0.0560159541489594 cerebhem 0.439808339181629 cortex -0.127305618217553 heart -0.258689942970326 kidney -0.0546142364631216 liver 0.526614843742497 stomach 0.466766409537566 testicle 0.349858813022434 varWeightedLogRatios=0.0901370823291007 cont.varWeightedLogRatios=0.0936878503874348 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.92080335341986 0.0724216616243484 54.1385445387472 2.78635708394951e-171 *** df.mm.trans1 0.233491868440915 0.0603371826901286 3.86978407062938 0.000130118972436349 *** df.mm.trans2 -0.00600213710162419 0.0603371826901286 -0.099476588631079 0.92081731877714 df.mm.exp2 0.259437039141715 0.0831319625734992 3.12078568952754 0.0019549802060352 ** df.mm.exp3 -0.148286377988376 0.0831319625734992 -1.78374686940985 0.0753386144739042 . df.mm.exp4 -0.138691440449796 0.0831319625734992 -1.66832871685394 0.096152527106244 . df.mm.exp5 0.0148296602027922 0.0831319625734992 0.178386985507299 0.85852316875755 df.mm.exp6 -0.0444925382249992 0.0831319625734992 -0.535203751332854 0.592851787249907 df.mm.exp7 -0.00179217754446299 0.0831319625734992 -0.0215582248870701 0.982812748519726 df.mm.exp8 0.0801916895781386 0.0831319625734992 0.964631257288543 0.335401308153095 df.mm.trans1:exp2 -0.247740439914714 0.0702593318729247 -3.52608590646424 0.000478361894915263 *** df.mm.trans2:exp2 -0.116048578752439 0.0702593318729247 -1.65171765314152 0.09949672190423 . df.mm.trans1:exp3 0.192206301853804 0.0702593318729247 2.73566936562164 0.00654533506831374 ** df.mm.trans2:exp3 0.116604781094488 0.0702593318729246 1.65963407260101 0.0978915167034933 . df.mm.trans1:exp4 0.00856952215962972 0.0702593318729247 0.121969878323481 0.902993477428547 df.mm.trans2:exp4 0.0489761326088356 0.0702593318729247 0.697076549168114 0.486221627171103 df.mm.trans1:exp5 -0.0204524495624151 0.0702593318729246 -0.291099402986164 0.771149216230057 df.mm.trans2:exp5 -0.0317130283478925 0.0702593318729246 -0.45137104926148 0.652004106122641 df.mm.trans1:exp6 0.0453085674986872 0.0702593318729247 0.644876150838369 0.519433557017 df.mm.trans2:exp6 -0.0606743732228699 0.0702593318729246 -0.86357742958059 0.388416575586849 df.mm.trans1:exp7 0.00438247022124929 0.0702593318729247 0.0623756318829745 0.95029961293926 df.mm.trans2:exp7 -0.0485946374003251 0.0702593318729247 -0.691646733678258 0.48962169963251 df.mm.trans1:exp8 -0.121525247968365 0.0702593318729247 -1.72966700264333 0.0845790305713147 . df.mm.trans2:exp8 -0.0996809346011784 0.0702593318729246 -1.41875722333181 0.156867351782239 df.mm.trans1:probe2 0.070812657212337 0.0384826209420425 1.84012043563732 0.066604423820075 . df.mm.trans1:probe3 -0.0749464172421428 0.0384826209420425 -1.9475393153449 0.0522763378495493 . df.mm.trans1:probe4 0.0385199090983212 0.0384826209420425 1.00096896093265 0.317539308565742 df.mm.trans1:probe5 -0.0928496763323459 0.0384826209420425 -2.41276903857936 0.0163497803285042 * df.mm.trans1:probe6 0.195288163658827 0.0384826209420425 5.0747105804707 6.33897098609043e-07 *** df.mm.trans2:probe2 0.106689105289018 0.0384826209420425 2.77239706333150 0.00586483772738697 ** df.mm.trans2:probe3 0.087635795429839 0.0384826209420425 2.27728240136826 0.0233774040894175 * df.mm.trans2:probe4 0.0371375964759882 0.0384826209420425 0.965048522342592 0.335192579420142 df.mm.trans2:probe5 0.0781181673833095 0.0384826209420425 2.02995964076773 0.0431231482749517 * df.mm.trans2:probe6 0.117720011851898 0.0384826209420425 3.05904351029502 0.00239316673382668 ** df.mm.trans3:probe2 0.125049784432699 0.0384826209420425 3.24951319248844 0.00126911114993682 ** df.mm.trans3:probe3 -0.204565308172936 0.0384826209420425 -5.31578419466349 1.9051635825644e-07 *** df.mm.trans3:probe4 -0.0798178030204862 0.0384826209420425 -2.07412595781086 0.0388046419158515 * cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.10111556538091 0.102448342720956 40.0310581553411 4.16671763080025e-132 *** df.mm.trans1 0.0374974936535183 0.0853535286599529 0.43931978258225 0.660703292199143 df.mm.trans2 0.00644997329685328 0.0853535286599529 0.0755677404100054 0.939806549888403 df.mm.exp2 -0.0636451462323995 0.117599232077440 -0.541203757100122 0.588714422210566 df.mm.exp3 -0.0585676150460048 0.117599232077439 -0.49802718956054 0.618780361244421 df.mm.exp4 0.0223672301788770 0.117599232077439 0.190198777523888 0.849264587041965 df.mm.exp5 0.108022076926811 0.117599232077439 0.918561074069587 0.358963240753895 df.mm.exp6 -0.0696727893695263 0.117599232077439 -0.592459560651268 0.553928756889416 df.mm.exp7 0.0380651936821849 0.117599232077439 0.323685733399338 0.746370968912426 df.mm.exp8 0.00492083674228495 0.117599232077439 0.0418441230895502 0.96664702685004 df.mm.trans1:exp2 0.0480217073982475 0.0993894913430542 0.483166849425711 0.629281980304024 df.mm.trans2:exp2 -0.0471722684278257 0.0993894913430542 -0.474620282188639 0.635356200112818 df.mm.trans1:exp3 -0.0206279129331920 0.0993894913430542 -0.207546216953585 0.835705051448873 df.mm.trans2:exp3 0.024475518373082 0.0993894913430542 0.246258613887075 0.805627650678383 df.mm.trans1:exp4 -0.0226371808146528 0.0993894913430542 -0.227762316807900 0.819965166913941 df.mm.trans2:exp4 0.0534710063947853 0.0993894913430542 0.537994567355456 0.590925686473692 df.mm.trans1:exp5 -0.113085759891442 0.0993894913430542 -1.13780399077719 0.255987342556012 df.mm.trans2:exp5 -0.0861560939081208 0.0993894913430542 -0.866853152620967 0.386621488380195 df.mm.trans1:exp6 0.0287793347693598 0.0993894913430542 0.289561143542073 0.772324932418835 df.mm.trans2:exp6 -0.0890888782969084 0.0993894913430542 -0.896361145358999 0.370681327593998 df.mm.trans1:exp7 0.005844640503687 0.0993894913430542 0.0588054171996268 0.953140943642645 df.mm.trans2:exp7 -0.0944140395630892 0.0993894913430542 -0.949939860716344 0.342803950209756 df.mm.trans1:exp8 -0.00865142695548836 0.0993894913430542 -0.0870456910341453 0.930685401720254 df.mm.trans2:exp8 -0.0810890335871149 0.0993894913430542 -0.81587130079202 0.415133433206552 df.mm.trans1:probe2 -0.0444338795015612 0.0544378663875552 -0.816231098868323 0.414927938180150 df.mm.trans1:probe3 -0.0582664938888212 0.0544378663875552 -1.07033022701531 0.285214614779239 df.mm.trans1:probe4 -0.0717419737791011 0.0544378663875552 -1.31786894931469 0.188416882412708 df.mm.trans1:probe5 -0.0699416824134827 0.0544378663875552 -1.28479837757697 0.199719726916709 df.mm.trans1:probe6 -0.0337715378092791 0.0544378663875552 -0.620368505423266 0.535422410367603 df.mm.trans2:probe2 -0.0137957582547121 0.0544378663875552 -0.253422096973768 0.800092131968917 df.mm.trans2:probe3 -0.0281796123318087 0.0544378663875552 -0.517647259192559 0.605034244121938 df.mm.trans2:probe4 -0.00822759581018869 0.0544378663875552 -0.151137367354088 0.879955179818674 df.mm.trans2:probe5 -0.0162207472557072 0.0544378663875552 -0.297968093389777 0.765905842024763 df.mm.trans2:probe6 -0.0377486677731178 0.0544378663875552 -0.693426658281879 0.488505722293863 df.mm.trans3:probe2 -0.0260142626043146 0.0544378663875552 -0.47787072364507 0.633043110524344 df.mm.trans3:probe3 -0.0528288873137427 0.0544378663875552 -0.970443752105238 0.332501290762128 df.mm.trans3:probe4 -0.0142619362653845 0.0544378663875552 -0.261985584884069 0.793488004946636