chr18.11243_chr18_46892465_46897309_-_0.R fitVsDatCorrelation=0.946455721928054 cont.fitVsDatCorrelation=0.300396445601614 fstatistic=6293.3682113159,37,347 cont.fstatistic=712.658967761253,37,347 residuals=-0.685420190849028,-0.0894530860339095,-0.000494553483592493,0.0780223890168664,0.541540563931104 cont.residuals=-0.745026078905104,-0.26816034845351,-0.113916393394034,0.10860415202862,2.30787906696418 predictedValues: Include Exclude Both chr18.11243_chr18_46892465_46897309_-_0.R.tl.Lung 44.9417883719287 50.1293467900575 137.308253576914 chr18.11243_chr18_46892465_46897309_-_0.R.tl.cerebhem 54.0070712006694 50.0624832476762 58.7886524181447 chr18.11243_chr18_46892465_46897309_-_0.R.tl.cortex 45.2497472580963 47.525483439116 78.4783858502593 chr18.11243_chr18_46892465_46897309_-_0.R.tl.heart 45.1539382163794 44.7621845567575 91.8299185113566 chr18.11243_chr18_46892465_46897309_-_0.R.tl.kidney 46.7222242787125 50.3756509202809 133.100433779292 chr18.11243_chr18_46892465_46897309_-_0.R.tl.liver 51.2092152208278 77.1215530225252 366.477773276861 chr18.11243_chr18_46892465_46897309_-_0.R.tl.stomach 45.539937675918 46.6630961706838 75.6804747250503 chr18.11243_chr18_46892465_46897309_-_0.R.tl.testicle 48.8249506990828 48.0778702002953 63.0389381601064 diffExp=-5.1875584181288,3.94458795299314,-2.27573618101976,0.391753659621848,-3.65342664156839,-25.9123378016974,-1.12315849476573,0.747080498787511 diffExpScore=1.26906863328279 diffExp1.5=0,0,0,0,0,-1,0,0 diffExp1.5Score=0.5 diffExp1.4=0,0,0,0,0,-1,0,0 diffExp1.4Score=0.5 diffExp1.3=0,0,0,0,0,-1,0,0 diffExp1.3Score=0.5 diffExp1.2=0,0,0,0,0,-1,0,0 diffExp1.2Score=0.5 cont.predictedValues: Include Exclude Both Lung 68.1881739646186 55.3504036484604 84.0312143704277 cerebhem 53.2466640177525 58.1832337040764 68.3382373666146 cortex 57.1199523382141 57.9607328876425 72.7880133406005 heart 58.0771661392974 58.6228491693268 62.5272547365808 kidney 68.3844540596997 63.8073759095385 55.7792645142885 liver 56.7096250979443 56.9681603372943 53.0947541062951 stomach 64.7934764402547 62.7014414426768 62.2166562786624 testicle 57.0580019975229 54.7141841873269 59.02171742642 cont.diffExp=12.8377703161582,-4.93656968632389,-0.840780549428366,-0.545683030029394,4.57707815016116,-0.258535239349939,2.09203499757793,2.34381781019599 cont.diffExpScore=1.74762048985598 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=1,0,0,0,0,0,0,0 cont.diffExp1.2Score=0.5 tran.correlation=0.487186057092492 cont.tran.correlation=0.445275156666146 tran.covariance=0.00599817589639348 cont.tran.covariance=0.00221768339032848 tran.mean=49.772908829313 cont.tran.mean=59.4928684588529 weightedLogRatios: wLogRatio Lung -0.421659381383258 cerebhem 0.299670743054623 cortex -0.188264489305872 heart 0.0331623374821491 kidney -0.292257755471661 liver -1.69544462869956 stomach -0.0933326459973681 testicle 0.059835761090938 cont.weightedLogRatios: wLogRatio Lung 0.858957389253172 cerebhem -0.356356490668519 cortex -0.0592156685012019 heart -0.0380292690974237 kidney 0.290304613683494 liver -0.0183772156649216 stomach 0.136362393893479 testicle 0.168750134560419 varWeightedLogRatios=0.3737305261288 cont.varWeightedLogRatios=0.125828365271493 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 2.35043538240877 0.0911252736226495 25.7934521233039 1.11637725267555e-82 *** df.mm.trans1 1.41909584021100 0.075919858215587 18.6920243736657 1.95913409643714e-54 *** df.mm.trans2 1.52249018734374 0.075919858215587 20.0539124167009 5.94315875926611e-60 *** df.mm.exp2 1.03069178908279 0.104601615958382 9.85349776520541 2.33332056635314e-20 *** df.mm.exp3 0.512893660845061 0.104601615958382 4.90330532798965 1.45029537189085e-06 *** df.mm.exp4 0.293756798171059 0.104601615958382 2.80833900585185 0.00526156837594232 ** df.mm.exp5 0.0748776662510209 0.104601615958382 0.715836610792062 0.474573664061824 df.mm.exp6 -0.420381822188837 0.104601615958382 -4.01888458736714 7.17485719183343e-05 *** df.mm.exp7 0.537276877870684 0.104601615958382 5.13641087614222 4.6798033143578e-07 *** df.mm.exp8 0.819564620685961 0.104601615958382 7.83510477516948 5.78131494550661e-14 *** df.mm.trans1:exp2 -0.846944863554289 0.0884045007787047 -9.58033647714806 1.92076048121524e-19 *** df.mm.trans2:exp2 -1.03202649975296 0.0884045007787047 -11.6739135526181 8.74702553149012e-27 *** df.mm.trans1:exp3 -0.506064636794516 0.0884045007787047 -5.72442163393132 2.24756465413484e-08 *** df.mm.trans2:exp3 -0.566234201081051 0.0884045007787046 -6.4050381608789 4.89229766030423e-10 *** df.mm.trans1:exp4 -0.289047357566336 0.0884045007787047 -3.26960002059039 0.00118486582207021 ** df.mm.trans2:exp4 -0.406999710784394 0.0884045007787047 -4.60383472786302 5.82851393253181e-06 *** df.mm.trans1:exp5 -0.0360257807823454 0.0884045007787046 -0.407510708900734 0.683884218602615 df.mm.trans2:exp5 -0.0699763254437447 0.0884045007787046 -0.791547091238153 0.429165536508142 df.mm.trans1:exp6 0.550933262197419 0.0884045007787047 6.23195942903996 1.33531295508911e-09 *** df.mm.trans2:exp6 0.851158009158083 0.0884045007787046 9.6279940688621 1.33283817088186e-19 *** df.mm.trans1:exp7 -0.524055246416299 0.0884045007787047 -5.92792495631101 7.40710664788424e-09 *** df.mm.trans2:exp7 -0.60892985835528 0.0884045007787047 -6.8879961200116 2.66872388006424e-11 *** df.mm.trans1:exp8 -0.736691214294491 0.0884045007787047 -8.33318674734205 1.85725343422105e-15 *** df.mm.trans2:exp8 -0.861349229309497 0.0884045007787046 -9.7432734953805 5.48401137987902e-20 *** df.mm.trans1:probe2 0.136297333958226 0.0484211392614796 2.81483120878683 0.00515880410556611 ** df.mm.trans1:probe3 0.0180399011893859 0.0484211392614796 0.372562510187305 0.70970152761531 df.mm.trans1:probe4 0.0797137399552648 0.0484211392614796 1.64625907550010 0.100615787148169 df.mm.trans1:probe5 0.0815526581211588 0.0484211392614796 1.68423666532845 0.093035157191439 . df.mm.trans1:probe6 0.042764746811838 0.0484211392614796 0.883183408405646 0.377748635205435 df.mm.trans2:probe2 -0.0270697160201671 0.0484211392614796 -0.559047482835701 0.576489925605159 df.mm.trans2:probe3 0.057002205202006 0.0484211392614796 1.17721734910423 0.239915593130277 df.mm.trans2:probe4 0.110050931834976 0.0484211392614796 2.27278691731495 0.0236500398036205 * df.mm.trans2:probe5 0.148380583899796 0.0484211392614796 3.06437614155512 0.00235202891975639 ** df.mm.trans2:probe6 0.128446306263279 0.0484211392614796 2.65269070951954 0.00835220024866207 ** df.mm.trans3:probe2 -0.877061655490803 0.0484211392614796 -18.1131974354129 4.36502166111212e-52 *** df.mm.trans3:probe3 -0.125757072619026 0.0484211392614796 -2.59715228796917 0.0098001060358776 ** df.mm.trans3:probe4 -0.476353214068784 0.0484211392614796 -9.83771182037712 2.63794222961684e-20 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.77979588401445 0.269230301649180 14.0392662373484 9.0481693394385e-36 *** df.mm.trans1 0.437461973303284 0.224305788240344 1.95029284235207 0.0519460827004664 . df.mm.trans2 0.232447933368865 0.224305788240344 1.03629930904768 0.300784148803318 df.mm.exp2 0.00929616353229917 0.309046255752115 0.0300801687749798 0.976020409586555 df.mm.exp3 0.0126011861184951 0.309046255752115 0.0407744338718099 0.96749917115891 df.mm.exp4 0.192527807781483 0.309046255752115 0.622974082999113 0.533710763917413 df.mm.exp5 0.554845346011335 0.309046255752115 1.79534725201905 0.0734684065106316 . df.mm.exp6 0.303591571836182 0.309046255752115 0.982349943367999 0.326611898122605 df.mm.exp7 0.374199843382516 0.309046255752115 1.21082147548379 0.226787867130825 df.mm.exp8 0.163519075892664 0.309046255752115 0.529108742944364 0.597068314829499 df.mm.trans1:exp2 -0.256632155994333 0.261191757956817 -0.982543086358652 0.326516924470322 df.mm.trans2:exp2 0.0406171172327421 0.261191757956817 0.155506887163941 0.876512145275034 df.mm.trans1:exp3 -0.189718850037717 0.261191757956817 -0.726358486660529 0.468108699259795 df.mm.trans2:exp3 0.0334806241852061 0.261191757956817 0.128184076125180 0.898077558251373 df.mm.trans1:exp4 -0.353026378357982 0.261191757956817 -1.35159846206306 0.177384222534626 df.mm.trans2:exp4 -0.135087221414478 0.261191757956817 -0.517195574895637 0.605349150439152 df.mm.trans1:exp5 -0.55197097457894 0.261191757956817 -2.11327868420028 0.0352903839843180 * df.mm.trans2:exp5 -0.412660504258687 0.261191757956817 -1.57991395856722 0.115037654056433 df.mm.trans1:exp6 -0.487918768230545 0.261191757956817 -1.86804810399573 0.0625979982371708 . df.mm.trans2:exp6 -0.274783002428419 0.261191757956817 -1.05203550287314 0.293515314918974 df.mm.trans1:exp7 -0.425266064845551 0.261191757956817 -1.62817566745678 0.104395197291177 df.mm.trans2:exp7 -0.249499358274687 0.261191757956817 -0.955234423269728 0.340124146088721 df.mm.trans1:exp8 -0.341721894071845 0.261191757956817 -1.30831806005280 0.191631390829919 df.mm.trans2:exp8 -0.175080043136323 0.261191757956817 -0.670312281313522 0.503104594127214 df.mm.trans1:probe2 -0.183149957375717 0.143060617667378 -1.28022624508408 0.201320726451681 df.mm.trans1:probe3 -0.133176076967351 0.143060617667378 -0.930906626427345 0.352549054564624 df.mm.trans1:probe4 -0.0280948417413446 0.143060617667378 -0.196384177556581 0.844424441909654 df.mm.trans1:probe5 0.263449150420390 0.143060617667378 1.84152113080429 0.0663985502793841 . df.mm.trans1:probe6 0.131104627838561 0.143060617667378 0.916427106049442 0.36007937576942 df.mm.trans2:probe2 -0.060612973200677 0.143060617667378 -0.423687344490603 0.672056349824736 df.mm.trans2:probe3 0.194574877471220 0.143060617667378 1.36008693827685 0.174685361660323 df.mm.trans2:probe4 -0.0917129931872013 0.143060617667378 -0.641077849953352 0.521895275423481 df.mm.trans2:probe5 -0.0169012079782355 0.143060617667378 -0.118140185984178 0.906024938880263 df.mm.trans2:probe6 -0.0109463591065570 0.143060617667378 -0.076515530864041 0.939053055089853 df.mm.trans3:probe2 -0.00255668186713304 0.143060617667378 -0.0178713185279085 0.98575178101712 df.mm.trans3:probe3 -0.0647654277867973 0.143060617667378 -0.45271318440257 0.651038196935413 df.mm.trans3:probe4 -0.006747735231604 0.143060617667378 -0.0471669655956104 0.962407289807808