chr19.11871_chr19_46589233_46589923_-_0.R fitVsDatCorrelation=0.691231502091524 cont.fitVsDatCorrelation=0.289632934147856 fstatistic=9009.31001424813,38,370 cont.fstatistic=5131.26493415632,38,370 residuals=-0.375061969910167,-0.0787888812003063,-0.000672830779319134,0.0672289743097716,0.68702430973056 cont.residuals=-0.414092017902186,-0.112324309159853,-0.0114687013943637,0.0869430779724323,0.994519917155135 predictedValues: Include Exclude Both chr19.11871_chr19_46589233_46589923_-_0.R.tl.Lung 51.6429792409981 50.3602919954181 50.8419882062894 chr19.11871_chr19_46589233_46589923_-_0.R.tl.cerebhem 60.7358599083771 49.857382940341 59.257747443773 chr19.11871_chr19_46589233_46589923_-_0.R.tl.cortex 49.9859241219987 46.4222270621588 48.3774448527261 chr19.11871_chr19_46589233_46589923_-_0.R.tl.heart 48.0551224430628 49.2221648940336 50.27496867005 chr19.11871_chr19_46589233_46589923_-_0.R.tl.kidney 49.3538986967832 49.2291732180342 51.0113750491456 chr19.11871_chr19_46589233_46589923_-_0.R.tl.liver 49.0765991294252 50.4098847239303 55.1292624658355 chr19.11871_chr19_46589233_46589923_-_0.R.tl.stomach 52.4798892917514 46.3039220343662 53.5051089210833 chr19.11871_chr19_46589233_46589923_-_0.R.tl.testicle 51.2301456670475 47.2547737737431 52.1941029924859 diffExp=1.28268724558004,10.8784769680361,3.56369705983989,-1.16704245097078,0.124725478749056,-1.33328559450507,6.17596725738525,3.97537189330441 diffExpScore=1.16328810073262 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=0,0,0,0,0,0,0,0 diffExp1.3Score=0 diffExp1.2=0,1,0,0,0,0,0,0 diffExp1.2Score=0.5 cont.predictedValues: Include Exclude Both Lung 52.0737905896601 47.8760104349464 52.0236452613898 cerebhem 53.928102090537 54.24613385426 51.7487938706527 cortex 49.6794103785244 51.4177231526338 55.1404603464827 heart 54.7062479490937 53.4368370736508 50.9093761199982 kidney 49.3877001149145 49.25565355912 47.9303335840061 liver 48.8266619057047 52.9197918927139 50.3483196494062 stomach 50.080940286956 53.1558318312546 49.5805993414052 testicle 53.729670593616 52.0411401865117 49.4525139940045 cont.diffExp=4.19778015471366,-0.318031763723063,-1.73831277410940,1.26941087544289,0.132046555794510,-4.09312998700911,-3.07489154429857,1.68853040710428 cont.diffExpScore=5.62287845812737 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=0.112601392800079 cont.tran.correlation=0.29493313025331 tran.covariance=0.000246545998869609 cont.tran.covariance=0.000549056282354058 tran.mean=50.1012649463418 cont.tran.mean=51.6726028683811 weightedLogRatios: wLogRatio Lung 0.098889145350557 cerebhem 0.791020255281444 cortex 0.286589147097917 heart -0.09320602480475 kidney 0.0098627316434643 liver -0.104721195812196 stomach 0.48802123909787 testicle 0.31469252429119 cont.weightedLogRatios: wLogRatio Lung 0.328678224575991 cerebhem -0.0234647107742317 cortex -0.134913863655090 heart 0.0936811745384272 kidney 0.0104369056151029 liver -0.316249926763496 stomach -0.23497867518599 testicle 0.126701455995578 varWeightedLogRatios=0.0962209159305742 cont.varWeightedLogRatios=0.0434474940525997 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.96743747919274 0.0721002579127718 55.0266752719888 3.05470486336697e-180 *** df.mm.trans1 -0.0729736060027971 0.0593774328393333 -1.22897879738676 0.219860792383368 df.mm.trans2 -0.0485966884705531 0.0593774328393333 -0.818437007912563 0.413634481297622 df.mm.exp2 -0.00103035649398444 0.0811673031069553 -0.0126942309839557 0.989878582937285 df.mm.exp3 -0.0643485768425454 0.0811673031069553 -0.792789391533095 0.428408583240087 df.mm.exp4 -0.0836492596685171 0.0811673031069553 -1.03057828049666 0.303411815660493 df.mm.exp5 -0.0713801964271686 0.0811673031069553 -0.87942057571027 0.379744064965457 df.mm.exp6 -0.130945759506881 0.0811673031069553 -1.61328212832614 0.107535749182873 df.mm.exp7 -0.118955152881501 0.0811673031069553 -1.46555507363294 0.143618798474681 df.mm.exp8 -0.0979224080473865 0.0811673031069553 -1.20642677899933 0.228423784845728 df.mm.trans1:exp2 0.163210396092223 0.0673003724127047 2.42510390717262 0.0157819336154649 * df.mm.trans2:exp2 -0.00900606226911835 0.0673003724127047 -0.133818906883467 0.893618531749887 df.mm.trans1:exp3 0.0317357682570923 0.0673003724127047 0.47155412547318 0.637523014965745 df.mm.trans2:exp3 -0.0170760544331034 0.0673003724127047 -0.253728973866419 0.799845880735482 df.mm.trans1:exp4 0.0116437390980362 0.0673003724127047 0.173011510644154 0.862736984441381 df.mm.trans2:exp4 0.0607902803747865 0.0673003724127047 0.903268112723114 0.366971299766006 df.mm.trans1:exp5 0.0260427033141715 0.0673003724127047 0.386962246723842 0.699006624136583 df.mm.trans2:exp5 0.0486635884642267 0.0673003724127047 0.72308052273185 0.470087248396937 df.mm.trans1:exp6 0.0799738277371976 0.0673003724127047 1.18831181567281 0.235472760008455 df.mm.trans2:exp6 0.131930033507989 0.0673003724127047 1.96031654474298 0.0507088503849263 . df.mm.trans1:exp7 0.135030931162868 0.0673003724127047 2.00639203502204 0.0455417190483444 * df.mm.trans2:exp7 0.0349788122307112 0.0673003724127047 0.519741733614954 0.603554387791224 df.mm.trans1:exp8 0.0898962925678596 0.0673003724127047 1.33574732717065 0.182452917550031 df.mm.trans2:exp8 0.0342730818113202 0.0673003724127047 0.50925545554411 0.610876746410988 df.mm.trans1:probe2 0.0264143159090367 0.0392949516487259 0.672206347145185 0.501871876897003 df.mm.trans1:probe3 0.0194056165843972 0.0392949516487259 0.493845030218439 0.621708656467948 df.mm.trans1:probe4 0.242332790619155 0.0392949516487259 6.1670209645623 1.82379513582021e-09 *** df.mm.trans1:probe5 0.0939338178954686 0.0392949516487259 2.39048055676929 0.0173257626386422 * df.mm.trans1:probe6 0.166707678923308 0.0392949516487259 4.24247064644786 2.79725939058242e-05 *** df.mm.trans2:probe2 0.157542970178435 0.0392949516487259 4.00924199084853 7.36967869805751e-05 *** df.mm.trans2:probe3 -0.153542596918322 0.0392949516487259 -3.90743824527139 0.000110906836177066 *** df.mm.trans2:probe4 -0.0376340909441617 0.0392949516487259 -0.957733483949506 0.338822539909082 df.mm.trans2:probe5 -0.0566053659453684 0.0392949516487259 -1.44052514560617 0.150564527832278 df.mm.trans2:probe6 0.0942234662156582 0.0392949516487259 2.39785168990565 0.0169863755399072 * df.mm.trans3:probe2 -0.0009698860305675 0.0392949516487259 -0.0246822044530737 0.98032175553662 df.mm.trans3:probe3 0.0571932973042857 0.0392949516487259 1.45548715304604 0.146382357561156 df.mm.trans3:probe4 0.314385350362418 0.0392949516487259 8.00065497402416 1.60858341138539e-14 *** df.mm.trans3:probe5 0.0436680781802169 0.0392949516487259 1.11128978018816 0.267165236440802 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.86702830290125 0.095497777157566 40.4933854797569 4.99961234725445e-138 *** df.mm.trans1 0.0890020664401298 0.0786462214370877 1.13167631977496 0.258503459009558 df.mm.trans2 -0.00690829751355285 0.0786462214370878 -0.0878401706695988 0.930051230629629 df.mm.exp2 0.165204332476774 0.107507202456422 1.53668153111638 0.125225993774388 df.mm.exp3 -0.0338882472901145 0.107507202456422 -0.315218390171124 0.752773546786345 df.mm.exp4 0.180853169060261 0.107507202456422 1.68224235147007 0.0933655334397293 . df.mm.exp5 0.0573990051509729 0.107507202456422 0.533908462311996 0.593725479564406 df.mm.exp6 0.0685106920743512 0.107507202456422 0.637266066914184 0.524345665999947 df.mm.exp7 0.113690726532800 0.107507202456422 1.05751730056304 0.290965506096903 df.mm.exp8 0.165409057619947 0.107507202456422 1.53858582346606 0.124760165797877 df.mm.trans1:exp2 -0.130214378320725 0.0891402632021819 -1.46078072515201 0.144924266516433 df.mm.trans2:exp2 -0.0402871609238384 0.0891402632021818 -0.451952456461362 0.651568060454101 df.mm.trans1:exp3 -0.0131829460251986 0.0891402632021819 -0.147889915865493 0.882510205721 df.mm.trans2:exp3 0.105256615766598 0.0891402632021819 1.18079767756420 0.238441595165018 df.mm.trans1:exp4 -0.131537006533999 0.0891402632021819 -1.47561833237643 0.140896843992398 df.mm.trans2:exp4 -0.0709673810483906 0.0891402632021819 -0.796131607637586 0.426466036599446 df.mm.trans1:exp5 -0.110359359970101 0.0891402632021819 -1.23804166608518 0.216485591680875 df.mm.trans2:exp5 -0.0289894040113923 0.0891402632021819 -0.325211110782123 0.745205114606426 df.mm.trans1:exp6 -0.132895940366538 0.0891402632021819 -1.49086322602742 0.136849419297046 df.mm.trans2:exp6 0.0316521617073966 0.089140263202182 0.355082659287255 0.72272998634917 df.mm.trans1:exp7 -0.152711986702130 0.0891402632021819 -1.71316508630628 0.0875198444921825 . df.mm.trans2:exp7 -0.00907745672064122 0.0891402632021819 -0.101833407200654 0.918944071506112 df.mm.trans1:exp8 -0.134105446153008 0.0891402632021819 -1.50443179474172 0.133323334490369 df.mm.trans2:exp8 -0.0819890473745465 0.0891402632021819 -0.919775693152089 0.35828923891946 df.mm.trans1:probe2 0.0392172317986441 0.0520467005888841 0.75350082435427 0.451628218094262 df.mm.trans1:probe3 -0.0455245578617496 0.0520467005888841 -0.874686720707758 0.382311794161949 df.mm.trans1:probe4 0.00262385172042773 0.0520467005888841 0.0504134112391386 0.95982015301834 df.mm.trans1:probe5 0.00414711517444272 0.0520467005888841 0.079680654633628 0.936534323671218 df.mm.trans1:probe6 -0.0375183162748418 0.0520467005888841 -0.720858687492955 0.471451663550531 df.mm.trans2:probe2 -0.0179069769023747 0.0520467005888841 -0.344055947826963 0.730999657926226 df.mm.trans2:probe3 0.00370662310048405 0.0520467005888841 0.0712172540919086 0.943263327426179 df.mm.trans2:probe4 -0.00231130823052966 0.0520467005888841 -0.0444083525829358 0.96460286029809 df.mm.trans2:probe5 0.0310420815248177 0.0520467005888841 0.596427461752445 0.55125442224065 df.mm.trans2:probe6 0.0789096039005854 0.0520467005888841 1.51613076348280 0.130340141268255 df.mm.trans3:probe2 -0.0291790456776703 0.0520467005888841 -0.560631996793707 0.575387754336551 df.mm.trans3:probe3 0.0465188671049829 0.0520467005888841 0.893790895073918 0.372014774922158 df.mm.trans3:probe4 -0.0339436062062517 0.0520467005888841 -0.652175946259717 0.514692612534827 df.mm.trans3:probe5 0.0294850846116546 0.0520467005888841 0.566512080075099 0.571389190348074