chr10.2459_chr10_118394999_118400195_+_2.R fitVsDatCorrelation=0.766299987020283 cont.fitVsDatCorrelation=0.254452997584022 fstatistic=9895.27734072222,48,600 cont.fstatistic=4360.40475586239,48,600 residuals=-0.412065796105933,-0.0865962556714694,-0.00877463538197216,0.0765366525636483,0.742586801418968 cont.residuals=-0.476681686153866,-0.137390827694698,-0.034204872943833,0.0941623424977048,1.15077358165395 predictedValues: Include Exclude Both chr10.2459_chr10_118394999_118400195_+_2.R.tl.Lung 51.2699914402891 49.1570397380091 74.2856150317439 chr10.2459_chr10_118394999_118400195_+_2.R.tl.cerebhem 64.0303142308123 49.5985021010835 71.0861725178286 chr10.2459_chr10_118394999_118400195_+_2.R.tl.cortex 48.8350678429189 48.7051347614898 68.6705178166542 chr10.2459_chr10_118394999_118400195_+_2.R.tl.heart 50.1538810890063 47.5354245378496 68.9107802927088 chr10.2459_chr10_118394999_118400195_+_2.R.tl.kidney 49.0815648110804 51.6534933725758 73.624556672743 chr10.2459_chr10_118394999_118400195_+_2.R.tl.liver 53.064590784996 50.8760339691167 70.6061723845595 chr10.2459_chr10_118394999_118400195_+_2.R.tl.stomach 50.8538582811602 48.2030344181609 68.8136598052177 chr10.2459_chr10_118394999_118400195_+_2.R.tl.testicle 51.2719767533959 47.4413976344635 70.4275272062615 diffExp=2.11295170228001,14.4318121297288,0.129933081429101,2.61845655115663,-2.57192856149543,2.18855681587939,2.65082386299933,3.8305791189324 diffExpScore=1.15701671485964 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 52.9042360271559 53.8289894646632 50.0395022014515 cerebhem 54.9237886958045 61.17376764996 52.7829634184684 cortex 53.1083622218558 54.6637308277761 51.9528235904313 heart 52.9441972017238 53.79379192405 57.8483109511292 kidney 57.8563313821836 56.928941598492 51.8405661308863 liver 53.1320553469379 51.4514296416118 52.8234463878606 stomach 55.2272533295667 51.3369561146732 54.5069702875457 testicle 54.6940060314293 51.1572923515405 53.6168350877084 cont.diffExp=-0.924753437507306,-6.24997895415553,-1.55536860592034,-0.84959472232623,0.927389783691517,1.68062570532603,3.89029721489354,3.53671367988878 cont.diffExpScore=13.4778456816640 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=0.127460692496943 cont.tran.correlation=0.338928783560223 tran.covariance=0.000348497176409504 cont.tran.covariance=0.000639106784075991 tran.mean=50.7332066104005 cont.tran.mean=54.320320613089 weightedLogRatios: wLogRatio Lung 0.164809669682372 cerebhem 1.02966947749311 cortex 0.0103560443329685 heart 0.208492547463216 kidney -0.200161341257509 liver 0.166384690057498 stomach 0.208899869166279 testicle 0.302701121496982 cont.weightedLogRatios: wLogRatio Lung -0.0689189913160388 cerebhem -0.437535864633194 cortex -0.115082175140444 heart -0.0633153772515887 kidney 0.0654422312444685 liver 0.127177248102849 stomach 0.290351681791422 testicle 0.265279159312917 varWeightedLogRatios=0.126702339863620 cont.varWeightedLogRatios=0.0554388088397932 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.66111937744696 0.07582159233458 48.2859732263528 7.56946634202513e-209 *** df.mm.trans1 0.224222942653726 0.0668313518785499 3.35505621764464 0.000843566170647589 *** df.mm.trans2 0.231336949067896 0.0614870454239635 3.76236892621509 0.000184825669687017 *** df.mm.exp2 0.275216067799295 0.0831334182748023 3.31053472250537 0.000987043217506292 *** df.mm.exp3 0.0207047975447736 0.0831334182748023 0.249055048793166 0.803403430559917 df.mm.exp4 0.0195501267543591 0.0831334182748023 0.235165678978038 0.81416038061497 df.mm.exp5 0.0148543519940224 0.0831334182748023 0.178680875901440 0.858248602013333 df.mm.exp6 0.119575906221251 0.0831334182748023 1.43836147607916 0.150852904276420 df.mm.exp7 0.0487673418127285 0.0831334182748023 0.58661538073083 0.557682684930245 df.mm.exp8 0.0178469995304839 0.0831334182748023 0.214679005156382 0.830090535602554 df.mm.trans1:exp2 -0.0529650555665998 0.0778214348400369 -0.68059726315083 0.496388905874457 df.mm.trans2:exp2 -0.266275500100624 0.0669977234376541 -3.97439623972315 7.91485960563184e-05 *** df.mm.trans1:exp3 -0.069361758260921 0.0778214348400369 -0.891293747069751 0.373128876035621 df.mm.trans2:exp3 -0.02994040243464 0.0669977234376541 -0.446886862693201 0.655118010689344 df.mm.trans1:exp4 -0.041559844571544 0.0778214348400369 -0.534041098792008 0.593510900511188 df.mm.trans2:exp4 -0.0530949799263522 0.0669977234376541 -0.792489314592319 0.428388646587709 df.mm.trans1:exp5 -0.0584764686352102 0.0778214348400369 -0.751418535978031 0.452695435746035 df.mm.trans2:exp5 0.0346834107638387 0.0669977234376541 0.517680437248199 0.604872058839486 df.mm.trans1:exp6 -0.0851716594594104 0.0778214348400369 -1.09444987276940 0.27419688106061 df.mm.trans2:exp6 -0.0852040049490005 0.0669977234376541 -1.27174477843697 0.203956529962269 df.mm.trans1:exp7 -0.0569169653028794 0.0778214348400369 -0.731379027126306 0.46483320640372 df.mm.trans2:exp7 -0.0683654340053768 0.0669977234376541 -1.02041428421065 0.307943279471301 df.mm.trans1:exp8 -0.0178082775683053 0.0778214348400369 -0.228835122417242 0.819075041808535 df.mm.trans2:exp8 -0.0533718501787876 0.0669977234376541 -0.796621846837135 0.425985778843393 df.mm.trans1:probe2 0.00143624751141523 0.0426245553193066 0.0336953078021833 0.97313132676199 df.mm.trans1:probe3 0.00557214486177411 0.0426245553193066 0.130726169927930 0.896035746907064 df.mm.trans1:probe4 -0.0572933367154862 0.0426245553193066 -1.34413922412313 0.179411370225116 df.mm.trans1:probe5 0.130589037764080 0.0426245553193066 3.06370440197718 0.00228420213402360 ** df.mm.trans1:probe6 0.111084678571764 0.0426245553193067 2.60611935396423 0.00938484034025062 ** df.mm.trans1:probe7 0.0326393038240482 0.0426245553193066 0.765739456506759 0.444132463588874 df.mm.trans1:probe8 -0.0444878069450896 0.0426245553193066 -1.04371310414443 0.29703847095483 df.mm.trans1:probe9 -0.0309757075404634 0.0426245553193066 -0.726710397526026 0.467686799553578 df.mm.trans1:probe10 0.0344938612176583 0.0426245553193066 0.809248588267018 0.418692959952192 df.mm.trans1:probe11 0.06305204935038 0.0426245553193066 1.47924239626779 0.139600354143167 df.mm.trans1:probe12 0.0238333440462625 0.0426245553193067 0.559145869504644 0.576270809764532 df.mm.trans1:probe13 0.00449700381548229 0.0426245553193066 0.105502656433471 0.916012222945316 df.mm.trans1:probe14 0.305766891503955 0.0426245553193066 7.17349164615118 2.16325982736197e-12 *** df.mm.trans1:probe15 0.256132957344494 0.0426245553193066 6.00904702525962 3.2387068264827e-09 *** df.mm.trans1:probe16 0.180441631094878 0.0426245553193066 4.23327891031739 2.66415148888021e-05 *** df.mm.trans1:probe17 0.0702469738623563 0.0426245553193066 1.64804004020983 0.0998679715570994 . df.mm.trans2:probe2 -0.0205910540273574 0.0426245553193066 -0.483079620962772 0.629215422968319 df.mm.trans2:probe3 0.0234851274460397 0.0426245553193066 0.550976479874318 0.581854895174668 df.mm.trans2:probe4 -0.0324475524570406 0.0426245553193066 -0.76124084378057 0.446812306164751 df.mm.trans2:probe5 0.0523401512015751 0.0426245553193066 1.22793424610503 0.219953141847812 df.mm.trans2:probe6 0.00285072270083319 0.0426245553193066 0.0668798226627355 0.946699655467686 df.mm.trans3:probe2 0.304056684980785 0.0426245553193066 7.13336908040571 2.83217131959271e-12 *** df.mm.trans3:probe3 0.0367960358463828 0.0426245553193066 0.863259113690182 0.388339952244648 df.mm.trans3:probe4 0.424099508130992 0.0426245553193066 9.9496523765234 1.08615227877565e-21 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.05810416600403 0.114128999665007 35.5571693251973 7.69928255467169e-150 *** df.mm.trans1 -0.0968011619104657 0.100596612406943 -0.96227059335633 0.336301335509976 df.mm.trans2 -0.0839505061433446 0.0925521974746676 -0.907061187459354 0.364738579475272 df.mm.exp2 0.111993718653887 0.125134985619507 0.894983270261617 0.371154916393248 df.mm.exp3 -0.0182840722444933 0.125134985619507 -0.146114790791514 0.883879846391685 df.mm.exp4 -0.144910545442553 0.125134985619507 -1.15803382023934 0.247310981104955 df.mm.exp5 0.110110937322542 0.125134985619507 0.879937267562826 0.379245588704776 df.mm.exp6 -0.0950193125919704 0.125134985619507 -0.759334506825229 0.447950695595366 df.mm.exp7 -0.0899439865051525 0.125134985619507 -0.718775696979274 0.472558953399219 df.mm.exp8 -0.0866867654712892 0.125134985619507 -0.692746037745785 0.488736976038766 df.mm.trans1:exp2 -0.074530566198434 0.117139224293741 -0.636256272378412 0.524852032831407 df.mm.trans2:exp2 0.0159125861243332 0.100847040009801 0.157789322550138 0.874675899622875 df.mm.trans1:exp3 0.0221350569451553 0.117139224293740 0.188963663355402 0.850185195604175 df.mm.trans2:exp3 0.0336723459084855 0.100847040009801 0.333895232871613 0.738575280731818 df.mm.trans1:exp4 0.145665609551627 0.117139224293741 1.24352547517604 0.214159907399708 df.mm.trans2:exp4 0.144256454525854 0.100847040009801 1.43044807772081 0.153109013505549 df.mm.trans1:exp5 -0.0206314566488419 0.117139224293741 -0.176127652997821 0.860253085093702 df.mm.trans2:exp5 -0.0541192454912912 0.100847040009801 -0.536646841454457 0.591710501409642 df.mm.trans1:exp6 0.099316325763097 0.117139224293741 0.84784858668732 0.396860387821706 df.mm.trans2:exp6 0.049845401814938 0.100847040009801 0.494267375721622 0.621298269223318 df.mm.trans1:exp7 0.132917125901198 0.117139224293740 1.13469358110049 0.256956831377799 df.mm.trans2:exp7 0.042542711742917 0.100847040009801 0.42185384656587 0.67328280261568 df.mm.trans1:exp8 0.119957478158865 0.117139224293741 1.02405901082337 0.306220095215306 df.mm.trans2:exp8 0.0357796559946186 0.100847040009801 0.354791335384173 0.722870589088175 df.mm.trans1:probe2 -0.0419044882749201 0.0641597955143388 -0.653126898846724 0.513924657007669 df.mm.trans1:probe3 -0.0760545601821461 0.0641597955143388 -1.18539280826026 0.236331434248412 df.mm.trans1:probe4 -0.028700071764147 0.0641597955143388 -0.447321746181889 0.654804206532397 df.mm.trans1:probe5 0.0383347878966067 0.0641597955143388 0.597489246798478 0.550406204618374 df.mm.trans1:probe6 -0.0185016020452422 0.0641597955143388 -0.288367534480489 0.773165005661123 df.mm.trans1:probe7 -0.0274377256543084 0.0641597955143388 -0.427646712935307 0.669061790671109 df.mm.trans1:probe8 0.0593184593288579 0.0641597955143388 0.92454252469681 0.355575597183572 df.mm.trans1:probe9 0.0101908522695762 0.0641597955143388 0.158835485491824 0.87385193770512 df.mm.trans1:probe10 0.0443576799851166 0.0641597955143388 0.69136255235108 0.489605139639278 df.mm.trans1:probe11 -0.0464998276443205 0.0641597955143388 -0.72475024696624 0.468887791388684 df.mm.trans1:probe12 0.0105997268212150 0.0641597955143388 0.165208238839323 0.86883572697842 df.mm.trans1:probe13 0.00144597850633407 0.0641597955143388 0.0225371433113578 0.982026976292155 df.mm.trans1:probe14 0.0482748929431838 0.0641597955143388 0.75241656486257 0.45209566568056 df.mm.trans1:probe15 0.0256611636313384 0.0641597955143388 0.399957066970444 0.689330485823402 df.mm.trans1:probe16 0.0415280116350228 0.0641597955143388 0.647259102092086 0.517711819938482 df.mm.trans1:probe17 0.110175284089906 0.0641597955143388 1.71720129727164 0.0864584344787778 . df.mm.trans2:probe2 0.0196608126267536 0.0641597955143388 0.306435088658592 0.759379701613954 df.mm.trans2:probe3 0.0890107713967234 0.0641597955143388 1.38732941218353 0.165856413412830 df.mm.trans2:probe4 0.00640517303641633 0.0641597955143388 0.0998315687428408 0.920511391343637 df.mm.trans2:probe5 -0.00937197578496318 0.0641597955143388 -0.146072407335972 0.883913290003897 df.mm.trans2:probe6 0.0108802169183923 0.0641597955143388 0.169579981219871 0.865397625468456 df.mm.trans3:probe2 0.0513895361465318 0.0641597955143388 0.80096165728968 0.423470895755698 df.mm.trans3:probe3 0.028275222099759 0.0641597955143388 0.440700003375788 0.659588929915845 df.mm.trans3:probe4 0.0621762000995119 0.0641597955143388 0.969083514077229 0.332893994774581