chr2.13736_chr2_85843824_85845019_+_1.R fitVsDatCorrelation=0.837633435227055 cont.fitVsDatCorrelation=0.281660301171691 fstatistic=8309.79124186623,37,347 cont.fstatistic=2686.70094019636,37,347 residuals=-0.534211110457597,-0.0836468327725513,-0.00525338484575453,0.068643619782898,0.639367043014347 cont.residuals=-0.462582244683019,-0.153619607583242,-0.0336201463387782,0.0945395872333716,1.33065832945848 predictedValues: Include Exclude Both chr2.13736_chr2_85843824_85845019_+_1.R.tl.Lung 83.4848605126741 71.665148401111 149.429839737126 chr2.13736_chr2_85843824_85845019_+_1.R.tl.cerebhem 65.0519620364153 60.1831052290001 61.2461427192172 chr2.13736_chr2_85843824_85845019_+_1.R.tl.cortex 59.4951270191503 57.8215794171264 55.6438117911158 chr2.13736_chr2_85843824_85845019_+_1.R.tl.heart 67.8449762520195 63.3719184248281 86.4579187388443 chr2.13736_chr2_85843824_85845019_+_1.R.tl.kidney 65.1731867079455 59.6176587517402 67.2005955449144 chr2.13736_chr2_85843824_85845019_+_1.R.tl.liver 67.1888727263871 58.5380249388004 70.9115266856304 chr2.13736_chr2_85843824_85845019_+_1.R.tl.stomach 63.334735614922 58.8561115510933 68.4233225775523 chr2.13736_chr2_85843824_85845019_+_1.R.tl.testicle 66.0780776269433 63.2075731906762 65.0210057366906 diffExp=11.8197121115631,4.86885680741516,1.67354760202391,4.47305782719143,5.55552795620527,8.65084778758667,4.47862406382863,2.87050443626713 diffExpScore=0.977969044944517 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=0,0,0,0,0,0,0,0 diffExp1.2Score=0 cont.predictedValues: Include Exclude Both Lung 67.6590770164023 66.7267620276882 73.8525949786688 cerebhem 66.5330157608428 66.2001010212643 62.6228741111834 cortex 64.4266163392336 62.3057886600646 73.7940208137508 heart 62.9896555139112 66.7892364245704 73.4096604515869 kidney 60.9519162559096 65.1139998452647 63.22840337695 liver 62.4245975228266 63.4669742160685 71.3369588714074 stomach 64.422606206665 70.7624358424124 77.0077511886144 testicle 66.1321818340195 67.4825330128216 67.2167792221472 cont.diffExp=0.932314988714012,0.332914739578499,2.12082767916899,-3.79958091065916,-4.16208358935514,-1.04237669324186,-6.33982963574748,-1.35035117880211 cont.diffExpScore=1.40341406295984 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=0.935415185429457 cont.tran.correlation=0.299395087336599 tran.covariance=0.00640093449657481 cont.tran.covariance=0.000418341064307243 tran.mean=64.432057400052 cont.tran.mean=65.2742185937478 weightedLogRatios: wLogRatio Lung 0.663820071789981 cerebhem 0.321781353264925 cortex 0.116173154505925 heart 0.285307840872460 kidney 0.368190538637402 liver 0.570426731446266 stomach 0.301549620892950 testicle 0.185141032481121 cont.weightedLogRatios: wLogRatio Lung 0.0583814355108723 cerebhem 0.0210443873739409 cortex 0.138870424388495 heart -0.244374977875226 kidney -0.273670318248708 liver -0.0685966910225373 stomach -0.395391087376018 testicle -0.0849314785994698 varWeightedLogRatios=0.0337949952242021 cont.varWeightedLogRatios=0.0337105804725262 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.44918478477392 0.0808869038171485 42.6420671580049 5.03884991900645e-140 *** df.mm.trans1 1.00867467066527 0.0673898911373956 14.9677444738524 1.99124751669472e-39 *** df.mm.trans2 0.752664193938992 0.0673898911373956 11.1687996706279 5.97481400843743e-25 *** df.mm.exp2 0.46783428887033 0.0928491132348265 5.0386511251553 7.55881698613624e-07 *** df.mm.exp3 0.434442714793693 0.0928491132348265 4.67901845971254 4.13788361454204e-06 *** df.mm.exp4 0.216745495769446 0.0928491132348265 2.33438412299395 0.0201456618949024 * df.mm.exp5 0.367474970670309 0.0928491132348265 3.95776500030669 9.17808536092415e-05 *** df.mm.exp6 0.325908319364720 0.0928491132348264 3.51008542796159 0.000507030410114745 *** df.mm.exp7 0.307972987550947 0.0928491132348265 3.31691899708344 0.00100649253111559 ** df.mm.exp8 0.47270790219026 0.0928491132348265 5.09114073060369 5.84854646271886e-07 *** df.mm.trans1:exp2 -0.717313226585061 0.0784718230981834 -9.14102920340672 5.30955209722476e-18 *** df.mm.trans2:exp2 -0.642447174114375 0.0784718230981834 -8.18697908051083 5.16881507988242e-15 *** df.mm.trans1:exp3 -0.773213608626294 0.0784718230981834 -9.85339167740317 2.33524633834934e-20 *** df.mm.trans2:exp3 -0.649085216609058 0.0784718230981834 -8.27157049476125 2.86300816408848e-15 *** df.mm.trans1:exp4 -0.42418545839695 0.0784718230981834 -5.4055766980998 1.20389766588920e-07 *** df.mm.trans2:exp4 -0.339729213634982 0.0784718230981834 -4.32931465361669 1.95963892155812e-05 *** df.mm.trans1:exp5 -0.615092137325996 0.0784718230981834 -7.8383821484101 5.65458454606282e-14 *** df.mm.trans2:exp5 -0.551527706837055 0.0784718230981834 -7.02835342753522 1.11361701970840e-11 *** df.mm.trans1:exp6 -0.543065974167477 0.0784718230981834 -6.92052194949003 2.18189578840748e-11 *** df.mm.trans2:exp6 -0.528236331465248 0.0784718230981834 -6.7315414706795 6.96420830768045e-11 *** df.mm.trans1:exp7 -0.584204367207927 0.0784718230981834 -7.44476608472539 7.74271091909417e-13 *** df.mm.trans2:exp7 -0.504881863734781 0.0784718230981834 -6.43392550091612 4.12917760360431e-10 *** df.mm.trans1:exp8 -0.706536169195136 0.0784718230981834 -9.0036925523079 1.47092698812907e-17 *** df.mm.trans2:exp8 -0.598288333384339 0.0784718230981834 -7.62424408868091 2.37480776083815e-13 *** df.mm.trans1:probe2 -0.145513952551303 0.04298078763943 -3.38555807241210 0.000791707449408592 *** df.mm.trans1:probe3 -0.0420753338564349 0.04298078763943 -0.978933522796486 0.328294823776802 df.mm.trans1:probe4 -0.0744093899689524 0.04298078763943 -1.73122443900237 0.0843005939243878 . df.mm.trans1:probe5 -0.135825219695176 0.04298078763943 -3.16013798617715 0.00171564656936977 ** df.mm.trans1:probe6 0.0658823836047599 0.04298078763943 1.53283332444844 0.126228109173010 df.mm.trans2:probe2 0.092521172879817 0.04298078763943 2.15261697054010 0.0320378043308476 * df.mm.trans2:probe3 0.351823178743337 0.04298078763943 8.1855917042474 5.21896906093572e-15 *** df.mm.trans2:probe4 0.177020188631735 0.04298078763943 4.11858875450991 4.7698568666762e-05 *** df.mm.trans2:probe5 0.0435090300150982 0.04298078763943 1.01229019765993 0.312104646127976 df.mm.trans2:probe6 0.03668218394455 0.04298078763943 0.85345536829805 0.393995573273770 df.mm.trans3:probe2 -0.245924013861727 0.04298078763943 -5.72171957212155 2.28047531310277e-08 *** df.mm.trans3:probe3 -0.522127976342471 0.04298078763943 -12.147938765633 1.54694172981192e-28 *** df.mm.trans3:probe4 -0.0467346742761879 0.04298078763943 -1.0873387120834 0.277641835160271 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.97003821363453 0.142086190015304 27.941056151952 7.98303864792046e-91 *** df.mm.trans1 0.22994727838988 0.118377295030406 1.94249478610587 0.0528859483100869 . df.mm.trans2 0.199342774779232 0.118377295030406 1.68396122523352 0.093088431680719 . df.mm.exp2 0.140233201357946 0.16309904475586 0.859803940408472 0.390490744574349 df.mm.exp3 -0.116713004400496 0.16309904475586 -0.715595879639892 0.474722150758442 df.mm.exp4 -0.0645595669821154 0.16309904475586 -0.395830442040623 0.692473378574332 df.mm.exp5 0.0264547748518908 0.16309904475586 0.162200673164521 0.871242237652335 df.mm.exp6 -0.0959519592186502 0.16309904475586 -0.588304850971255 0.556710395505854 df.mm.exp7 -0.0321296664534453 0.16309904475586 -0.196994816870569 0.843946926422163 df.mm.exp8 0.0825849041424464 0.16309904475586 0.506348177980235 0.612933801639614 df.mm.trans1:exp2 -0.157016421057546 0.137843851617572 -1.13908904325429 0.255451759504578 df.mm.trans2:exp2 -0.148157314666026 0.137843851617572 -1.07481989894672 0.283202158918446 df.mm.trans1:exp3 0.0677583275562756 0.137843851617572 0.491558577050368 0.623342214825117 df.mm.trans2:exp3 0.0481612395185271 0.137843851617572 0.349389827354387 0.727008603616032 df.mm.trans1:exp4 -0.00695144006407247 0.137843851617572 -0.0504298159293913 0.959808892528876 df.mm.trans2:exp4 0.0654954009221056 0.137843851617572 0.475141982420901 0.634984704493337 df.mm.trans1:exp5 -0.130851001381032 0.137843851617572 -0.949269770436043 0.343144075193306 df.mm.trans2:exp5 -0.0509212996218955 0.137843851617572 -0.369412919215066 0.712045295516914 df.mm.trans1:exp6 0.0154298262282466 0.137843851617572 0.111936992816005 0.910938087025592 df.mm.trans2:exp6 0.0458655364866306 0.137843851617572 0.332735453546946 0.739534912356111 df.mm.trans1:exp7 -0.0168872557422116 0.137843851617572 -0.122510039759067 0.902566016216942 df.mm.trans2:exp7 0.0908518569041255 0.137843851617572 0.659092558993354 0.51027346424113 df.mm.trans1:exp8 -0.105410931659185 0.137843851617572 -0.764712610843414 0.444962428286853 df.mm.trans2:exp8 -0.0713222121820115 0.137843851617572 -0.51741308259352 0.605197498705894 df.mm.trans1:probe2 -0.017112852013821 0.075500186944339 -0.226659730345265 0.820821806503276 df.mm.trans1:probe3 0.00144312057711043 0.075500186944339 0.0191141325010803 0.984761043076771 df.mm.trans1:probe4 0.0972769385817031 0.075500186944339 1.28843308233685 0.198453660445488 df.mm.trans1:probe5 0.0401736615338326 0.075500186944339 0.532100159744634 0.594997139865698 df.mm.trans1:probe6 0.0231794287154479 0.075500186944339 0.307011540680507 0.75901874486551 df.mm.trans2:probe2 0.0550028978464249 0.075500186944339 0.728513399403562 0.466790724302422 df.mm.trans2:probe3 0.0765166475689901 0.075500186944339 1.01346302129557 0.311545182301287 df.mm.trans2:probe4 -0.0150158273388906 0.075500186944339 -0.198884637861370 0.842469465915124 df.mm.trans2:probe5 0.130955848008447 0.075500186944339 1.73451024836523 0.0837156045582836 . df.mm.trans2:probe6 0.0647915722859181 0.075500186944339 0.858164395456191 0.391394053761981 df.mm.trans3:probe2 -0.145582010776165 0.075500186944339 -1.92823377885796 0.0546416881121424 . df.mm.trans3:probe3 -0.136519842387470 0.075500186944339 -1.80820535567835 0.0714401657596059 . df.mm.trans3:probe4 -0.106926626586699 0.075500186944339 -1.41624320302052 0.157601333512751