chr2.13020_chr2_131278581_131278852_-_0.R fitVsDatCorrelation=0.931914736397577 cont.fitVsDatCorrelation=0.352302629829857 fstatistic=6139.62512882943,43,485 cont.fstatistic=912.4274628322,43,485 residuals=-0.738733545358018,-0.101582322045402,-0.00387828519125611,0.0976060362123392,1.23845600444632 cont.residuals=-0.944152760314996,-0.381950136652566,-0.0628808968712651,0.329527709695122,1.66900722920235 predictedValues: Include Exclude Both chr2.13020_chr2_131278581_131278852_-_0.R.tl.Lung 79.307665733757 47.7031999820584 65.2011332417648 chr2.13020_chr2_131278581_131278852_-_0.R.tl.cerebhem 129.512746738838 51.2124210426867 80.3619080515811 chr2.13020_chr2_131278581_131278852_-_0.R.tl.cortex 146.955836147260 45.6580244771105 87.7642841317094 chr2.13020_chr2_131278581_131278852_-_0.R.tl.heart 251.763633077036 45.7362842823338 133.913534531098 chr2.13020_chr2_131278581_131278852_-_0.R.tl.kidney 127.767456667928 46.2889686341 92.1421766458928 chr2.13020_chr2_131278581_131278852_-_0.R.tl.liver 114.001694103517 46.7316899140544 78.9603728071379 chr2.13020_chr2_131278581_131278852_-_0.R.tl.stomach 124.518455440619 45.4533642408914 76.4523986965714 chr2.13020_chr2_131278581_131278852_-_0.R.tl.testicle 128.965963025409 46.9106926102695 81.3872478559506 diffExp=31.6044657516987,78.3003256961512,101.297811670149,206.027348794703,81.4784880338284,67.2700041894625,79.0650911997275,82.0552704151392 diffExpScore=0.998626560032647 diffExp1.5=1,1,1,1,1,1,1,1 diffExp1.5Score=0.888888888888889 diffExp1.4=1,1,1,1,1,1,1,1 diffExp1.4Score=0.888888888888889 diffExp1.3=1,1,1,1,1,1,1,1 diffExp1.3Score=0.888888888888889 diffExp1.2=1,1,1,1,1,1,1,1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 88.7966776919939 90.680298175941 88.3811265247581 cerebhem 124.316409247452 69.9555576200058 64.7759453699136 cortex 82.9657886322015 74.1789776172639 106.493534003686 heart 74.6853400650334 112.189407578116 85.7283299374943 kidney 86.3056896160911 98.9153414229887 68.7951047365688 liver 88.1091873008538 85.9403177909528 94.9044694082658 stomach 93.94278783542 114.775373891224 82.3736883997096 testicle 92.2495509128674 104.799092823298 93.3103101602811 cont.diffExp=-1.88362048394703,54.3608516274463,8.78681101493758,-37.504067513083,-12.6096518068976,2.16886950990097,-20.8325860558041,-12.5495419104305 cont.diffExpScore=7.15455825609333 cont.diffExp1.5=0,1,0,-1,0,0,0,0 cont.diffExp1.5Score=2 cont.diffExp1.4=0,1,0,-1,0,0,0,0 cont.diffExp1.4Score=2 cont.diffExp1.3=0,1,0,-1,0,0,0,0 cont.diffExp1.3Score=2 cont.diffExp1.2=0,1,0,-1,0,0,-1,0 cont.diffExp1.2Score=1.5 tran.correlation=-0.30111026374113 cont.tran.correlation=-0.503147917890157 tran.covariance=-0.00380397513155799 cont.tran.covariance=-0.0138510077614204 tran.mean=92.4055060073668 cont.tran.mean=92.6753623888565 weightedLogRatios: wLogRatio Lung 2.09392196926745 cerebhem 4.08219702205522 cortex 5.15000331899003 heart 7.97485318863272 kidney 4.40903448126137 liver 3.82606599949671 stomach 4.35412870437817 testicle 4.40310865375312 cont.weightedLogRatios: wLogRatio Lung -0.094392717666871 cerebhem 2.60768669528445 cortex 0.488366092363312 heart -1.83788146002276 kidney -0.617216193158708 liver 0.111312260787921 stomach -0.929917311736004 testicle -0.585223450645915 varWeightedLogRatios=2.70617912240444 cont.varWeightedLogRatios=1.70485219814451 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.31672885116563 0.100441779944272 42.9774228768216 1.67795809380711e-167 *** df.mm.trans1 -0.00439303292588003 0.0804088975028987 -0.0546336669486317 0.956452813862954 df.mm.trans2 -0.504017272838807 0.0804088975028986 -6.26817788193947 8.07897753496834e-10 *** df.mm.exp2 0.352364701448848 0.107672991759187 3.27254491299841 0.00114186290489170 ** df.mm.exp3 0.275800427351719 0.107672991759187 2.56146339806878 0.0107245143602072 * df.mm.exp4 0.39333188313594 0.107672991759187 3.65302270058247 0.000287403352129143 *** df.mm.exp5 0.100926335728896 0.107672991759187 0.937341241103612 0.349049576204354 df.mm.exp6 0.150833288769296 0.107672991759187 1.40084608317226 0.161899588120427 df.mm.exp7 0.243616049161456 0.107672991759187 2.26255484482411 0.0241046860705465 * df.mm.exp8 0.247719130520231 0.107672991759187 2.30066172094725 0.0218341812160857 * df.mm.trans1:exp2 0.138079813781028 0.0844656440103094 1.63474529080930 0.102751299976765 df.mm.trans2:exp2 -0.281381081557568 0.0844656440103094 -3.33130807033478 0.000930361884916804 *** df.mm.trans1:exp3 0.340996888433687 0.0844656440103094 4.03710754152383 6.28790811107126e-05 *** df.mm.trans2:exp3 -0.319619534349483 0.0844656440103094 -3.78401820165454 0.000173621406509722 *** df.mm.trans1:exp4 0.761824008750496 0.0844656440103094 9.01933582200015 4.41189411138807e-18 *** df.mm.trans2:exp4 -0.435438414691907 0.0844656440103094 -5.15521333903238 3.69560390566965e-07 *** df.mm.trans1:exp5 0.375950739645125 0.0844656440103094 4.45093083762244 1.06177565273309e-05 *** df.mm.trans2:exp5 -0.131021142689427 0.0844656440103094 -1.55117674439841 0.121511597555818 df.mm.trans1:exp6 0.212045228590449 0.0844656440103094 2.51043167994513 0.0123827416008499 * df.mm.trans2:exp6 -0.171409250567574 0.0844656440103094 -2.02933692835696 0.0429695402078986 * df.mm.trans1:exp7 0.207503100746702 0.0844656440103094 2.45665682394341 0.0143729540622658 * df.mm.trans2:exp7 -0.291927691797587 0.0844656440103094 -3.45617079249352 0.000596055842784691 *** df.mm.trans1:exp8 0.238494595028531 0.0844656440103094 2.82356924904784 0.00494460477590347 ** df.mm.trans2:exp8 -0.264471974849295 0.0844656440103094 -3.13111890577683 0.0018465475404843 ** df.mm.trans1:probe2 0.0788483800242753 0.0578296731983095 1.36345885535076 0.173370488493855 df.mm.trans1:probe3 -0.0773363122193845 0.0578296731983095 -1.33731193593612 0.181747666653932 df.mm.trans1:probe4 0.31007938840414 0.0578296731983095 5.36194260238712 1.27625538932282e-07 *** df.mm.trans1:probe5 0.50141058207688 0.0578296731983095 8.67047234310738 6.49929328693671e-17 *** df.mm.trans1:probe6 0.162981533582030 0.0578296731983095 2.8183028637069 0.00502509309514374 ** df.mm.trans2:probe2 0.243901256924583 0.0578296731983095 4.21757972050433 2.94716633015877e-05 *** df.mm.trans2:probe3 0.10593672547543 0.0578296731983095 1.83187487697106 0.0675831597592557 . df.mm.trans2:probe4 0.125894123294313 0.0578296731983095 2.17698140645887 0.0299634673661139 * df.mm.trans2:probe5 0.0968862136212246 0.0578296731983095 1.67537197191107 0.0945058202913525 . df.mm.trans2:probe6 0.263972127005663 0.0578296731983095 4.56464843058078 6.3492511398785e-06 *** df.mm.trans3:probe2 0.824655869878339 0.0578296731983095 14.2600817931381 8.81351042867417e-39 *** df.mm.trans3:probe3 0.23799073643898 0.0578296731983095 4.1153740506688 4.54220258187997e-05 *** df.mm.trans3:probe4 0.69183423058891 0.0578296731983095 11.9633086671002 4.40507709315538e-29 *** df.mm.trans3:probe5 0.597676588258782 0.0578296731983095 10.3351195883337 9.20431796809517e-23 *** df.mm.trans3:probe6 0.504772395355354 0.0578296731983095 8.72860535843578 4.17290763247448e-17 *** df.mm.trans3:probe7 -0.115309740983325 0.0578296731983095 -1.99395456702487 0.0467164998489199 * df.mm.trans3:probe8 0.514782828125772 0.0578296731983095 8.90170737020213 1.10183425379636e-17 *** df.mm.trans3:probe9 0.0718262865635018 0.0578296731983095 1.24203168704058 0.214825125810828 df.mm.trans3:probe10 0.363353849666440 0.0578296731983095 6.28317314573831 7.38998505598788e-10 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.50297308683703 0.259189183889758 17.3733063211168 6.40465964556514e-53 *** df.mm.trans1 0.0255004737947901 0.207494496143087 0.122897109411544 0.902239483949818 df.mm.trans2 0.0253764792837050 0.207494496143087 0.122299529652129 0.902712462661184 df.mm.exp2 0.387724927543693 0.277849266276607 1.39545060794834 0.163518572254454 df.mm.exp3 -0.455206046324209 0.277849266276607 -1.63832013099879 0.102003466339016 df.mm.exp4 0.0702581583089051 0.277849266276607 0.252864293112659 0.800480220263812 df.mm.exp5 0.308996377314382 0.277849266276607 1.11210074964447 0.26664577585306 df.mm.exp6 -0.132671817950223 0.277849266276607 -0.477495657009021 0.633224322804594 df.mm.exp7 0.362365930492982 0.277849266276607 1.30418170740187 0.192790228141401 df.mm.exp8 0.128581019344077 0.277849266276607 0.462772571139601 0.643734953570376 df.mm.trans1:exp2 -0.0512441604059516 0.217962897012594 -0.235104970195872 0.814226491832933 df.mm.trans2:exp2 -0.647204892121426 0.217962897012594 -2.96933515287252 0.00313226572285403 ** df.mm.trans1:exp3 0.387285148075177 0.217962897012594 1.7768397896308 0.0762213121132422 . df.mm.trans2:exp3 0.254346721977061 0.217962897012594 1.16692669010710 0.243813400715646 df.mm.trans1:exp4 -0.243323572152387 0.217962897012594 -1.11635317518434 0.264823753760498 df.mm.trans2:exp4 0.142590309855362 0.217962897012594 0.65419533236945 0.513296046126998 df.mm.trans1:exp5 -0.337450088973910 0.217962897012594 -1.54819968718994 0.122226474832957 df.mm.trans2:exp5 -0.222072144015252 0.217962897012594 -1.01885296561470 0.308780734468225 df.mm.trans1:exp6 0.124899392178583 0.217962897012594 0.5730305198291 0.566889600805651 df.mm.trans2:exp6 0.0789847802581588 0.217962897012594 0.362377181349334 0.717228038757433 df.mm.trans1:exp7 -0.306029209488027 0.217962897012594 -1.40404267736607 0.160946149737302 df.mm.trans2:exp7 -0.126729096616990 0.217962897012594 -0.581425088186764 0.561224107600765 df.mm.trans1:exp8 -0.0904328405082678 0.217962897012594 -0.414900158456981 0.678398458627365 df.mm.trans2:exp8 0.016123982383567 0.217962897012594 0.0739758124183649 0.94106013122874 df.mm.trans1:probe2 -0.198801219594552 0.149228994241216 -1.33218896639621 0.183423729813912 df.mm.trans1:probe3 -0.174621176269632 0.149228994241216 -1.17015582097519 0.242512943896585 df.mm.trans1:probe4 -0.207123802283474 0.149228994241216 -1.38795951374353 0.165786631610919 df.mm.trans1:probe5 -0.106260045271691 0.149228994241216 -0.712060319189251 0.476769801915501 df.mm.trans1:probe6 0.0128170480267788 0.149228994241216 0.0858884568106189 0.931590532361083 df.mm.trans2:probe2 -0.144587286149299 0.149228994241216 -0.968895400551893 0.333080295840564 df.mm.trans2:probe3 -0.124234551568009 0.149228994241216 -0.832509474446999 0.405531173670518 df.mm.trans2:probe4 -0.101371220814971 0.149228994241216 -0.679299765641477 0.497271996963866 df.mm.trans2:probe5 0.00510507641725698 0.149228994241216 0.0342096818598472 0.972724020420507 df.mm.trans2:probe6 0.0289367458728045 0.149228994241216 0.193908335440703 0.846328843532485 df.mm.trans3:probe2 -0.111010487422349 0.149228994241216 -0.74389355759451 0.45730110643218 df.mm.trans3:probe3 0.0260450761002833 0.149228994241216 0.174530936382133 0.861521050609248 df.mm.trans3:probe4 -0.241457954543419 0.149228994241216 -1.61803646651348 0.106304858875035 df.mm.trans3:probe5 -0.322602857548366 0.149228994241216 -2.16179743882013 0.0311222365606669 * df.mm.trans3:probe6 0.0778875279236401 0.149228994241216 0.521932941514981 0.601955300566246 df.mm.trans3:probe7 0.00105856112705830 0.149228994241216 0.00709353522377309 0.994343141981631 df.mm.trans3:probe8 -0.0259512810348124 0.149228994241216 -0.173902405271621 0.862014723017404 df.mm.trans3:probe9 -0.114769175273014 0.149228994241216 -0.769080940715172 0.442219623145567 df.mm.trans3:probe10 -0.0111153485052804 0.149228994241216 -0.0744851800536388 0.940655043989045