chr13.6539_chr13_34347694_34348730_-_1.R fitVsDatCorrelation=0.895844610677173 cont.fitVsDatCorrelation=0.244265288278257 fstatistic=7486.91587663273,50,646 cont.fstatistic=1561.98328401042,50,646 residuals=-0.667577307560958,-0.113090516944369,-0.0022548095079328,0.097124005653887,0.704944024580482 cont.residuals=-0.76125043525481,-0.292350762902635,-0.0614574701684255,0.195693008582108,1.35624802242460 predictedValues: Include Exclude Both chr13.6539_chr13_34347694_34348730_-_1.R.tl.Lung 127.148459530272 73.4503688612652 60.7109794720762 chr13.6539_chr13_34347694_34348730_-_1.R.tl.cerebhem 82.0020717064636 69.4345147558573 56.2854054340151 chr13.6539_chr13_34347694_34348730_-_1.R.tl.cortex 120.615707420272 73.5378886840107 64.4512472696749 chr13.6539_chr13_34347694_34348730_-_1.R.tl.heart 278.872692565694 116.440748485248 97.9745125205 chr13.6539_chr13_34347694_34348730_-_1.R.tl.kidney 185.107061067760 94.8191567900392 99.7572422973293 chr13.6539_chr13_34347694_34348730_-_1.R.tl.liver 204.136624861759 97.9878523212095 87.113518538103 chr13.6539_chr13_34347694_34348730_-_1.R.tl.stomach 127.221504275101 75.8498403755462 62.1315256351212 chr13.6539_chr13_34347694_34348730_-_1.R.tl.testicle 119.743511639458 80.0720603563557 59.156738577166 diffExp=53.6980906690065,12.5675569506064,47.0778187362612,162.431944080445,90.2879042777206,106.148772540550,51.3716638995547,39.6714512831025 diffExpScore=0.998227752272942 diffExp1.5=1,0,1,1,1,1,1,0 diffExp1.5Score=0.857142857142857 diffExp1.4=1,0,1,1,1,1,1,1 diffExp1.4Score=0.875 diffExp1.3=1,0,1,1,1,1,1,1 diffExp1.3Score=0.875 diffExp1.2=1,0,1,1,1,1,1,1 diffExp1.2Score=0.875 cont.predictedValues: Include Exclude Both Lung 93.5548533182676 88.6277467423247 73.99986590278 cerebhem 86.030155826477 83.5853492010034 77.0177519668602 cortex 72.3093774752623 83.6409181443522 78.071169974801 heart 70.3484097185643 84.4359396672146 76.6116371241151 kidney 76.0239719505309 88.0371277097127 81.6654690848888 liver 77.5349137998628 86.1868078059877 73.6815607554908 stomach 92.9748422768463 82.4077579488445 81.6572310444376 testicle 75.2747838174394 92.2184182973796 83.7882480422999 cont.diffExp=4.92710657594293,2.44480662547357,-11.3315406690899,-14.0875299486503,-12.0131557591819,-8.65189400612492,10.5670843280018,-16.9436344799402 cont.diffExpScore=1.75675711554569 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,-1,0,0,0,-1 cont.diffExp1.2Score=0.666666666666667 tran.correlation=0.983297166544118 cont.tran.correlation=-0.146162883760616 tran.covariance=0.0670085599588559 cont.tran.covariance=-0.000588461460375332 tran.mean=120.402503981019 cont.tran.mean=83.3244608562544 weightedLogRatios: wLogRatio Lung 2.50830594006181 cerebhem 0.719270045195667 cortex 2.24900729363709 heart 4.53635871809458 kidney 3.26885572022493 liver 3.63436584051803 stomach 2.37245477833422 testicle 1.84477265990017 cont.weightedLogRatios: wLogRatio Lung 0.244085283071442 cerebhem 0.128011709096943 cortex -0.633813726690926 heart -0.793055810093246 kidney -0.646169711734289 liver -0.465853914515247 stomach 0.539544456962796 testicle -0.897863357931216 varWeightedLogRatios=1.36339515195837 cont.varWeightedLogRatios=0.291631173139856 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.68061508067107 0.0928536719360245 50.4085081729022 4.54560622327633e-226 *** df.mm.trans1 0.249857182773285 0.0732818976557587 3.40953483419586 0.000691234830388532 *** df.mm.trans2 -0.358651464174141 0.0732818976557587 -4.89413450861909 1.24846787193796e-06 *** df.mm.exp2 -0.419147425028934 0.097037648044579 -4.31943099894978 1.81048357223615e-05 *** df.mm.exp3 -0.111339534588431 0.097037648044579 -1.14738492566599 0.251647320129008 df.mm.exp4 0.767589818714378 0.0970376480445791 7.91022694987153 1.11720153386686e-14 *** df.mm.exp5 0.134325434904118 0.0970376480445791 1.38426103281490 0.166756534274948 df.mm.exp6 0.400580197226470 0.097037648044579 4.12809054319250 4.13748325854456e-05 *** df.mm.exp7 0.0095910390626991 0.097037648044579 0.0988383298232143 0.921297295863718 df.mm.exp8 0.052247790159073 0.097037648044579 0.538428035014517 0.590467045547031 df.mm.trans1:exp2 -0.019463439734323 0.0735824398505756 -0.264512019088353 0.791469773342363 df.mm.trans2:exp2 0.362921575145596 0.0735824398505756 4.93217642528005 1.03543024151252e-06 *** df.mm.trans1:exp3 0.0585936779283631 0.0735824398505756 0.796299742810237 0.426150363652707 df.mm.trans2:exp3 0.112530375742000 0.0735824398505756 1.52931019915236 0.126677056773640 df.mm.trans1:exp4 0.017810183501871 0.0735824398505756 0.242043937902008 0.808822934829644 df.mm.trans2:exp4 -0.306817196325114 0.0735824398505756 -4.16970675270037 3.46619856670036e-05 *** df.mm.trans1:exp5 0.241253554840079 0.0735824398505756 3.27868381817719 0.00109888378736937 ** df.mm.trans2:exp5 0.121036105242406 0.0735824398505756 1.64490475564815 0.100475926858447 df.mm.trans1:exp6 0.0728539257420563 0.0735824398505756 0.990099348295617 0.322496260393584 df.mm.trans2:exp6 -0.112346606689266 0.0735824398505756 -1.52681274115685 0.127297023393897 df.mm.trans1:exp7 -0.00901672010031693 0.0735824398505756 -0.122539020432419 0.902510255878662 df.mm.trans2:exp7 0.0225546377101228 0.0735824398505756 0.306522014707921 0.759305988664679 df.mm.trans1:exp8 -0.112251114308805 0.0735824398505756 -1.52551498070402 0.127620111135211 df.mm.trans2:exp8 0.0340692689892341 0.0735824398505756 0.46300814512836 0.643514461584527 df.mm.trans1:probe2 -0.556290631652657 0.054785465798376 -10.1539819648507 1.41680217947862e-22 *** df.mm.trans1:probe3 -0.564606299485705 0.054785465798376 -10.3057679853192 3.67744542760737e-23 *** df.mm.trans1:probe4 -0.106180432376163 0.054785465798376 -1.93811316247513 0.0530447822947545 . df.mm.trans1:probe5 -0.316492162686862 0.054785465798376 -5.7769366030697 1.18308356909112e-08 *** df.mm.trans1:probe6 -0.414118875328104 0.054785465798376 -7.55891857983217 1.39827265179963e-13 *** df.mm.trans2:probe2 -0.0416331358950948 0.054785465798376 -0.75993030794545 0.447573481532689 df.mm.trans2:probe3 -0.169011574051729 0.054785465798376 -3.08497101537355 0.00212266145893314 ** df.mm.trans2:probe4 -0.273346797801449 0.054785465798376 -4.98940355472075 7.79594154714436e-07 *** df.mm.trans2:probe5 -0.0581889227831741 0.054785465798376 -1.06212335580615 0.288576584028386 df.mm.trans2:probe6 -0.0409544843818632 0.054785465798376 -0.747542870815149 0.455007953880814 df.mm.trans3:probe2 -0.145543001095899 0.054785465798376 -2.65659877076766 0.00808830034509762 ** df.mm.trans3:probe3 -0.555145282551612 0.054785465798376 -10.1330758890448 1.70415268587954e-22 *** df.mm.trans3:probe4 -0.215158784731155 0.054785465798376 -3.92729680391862 9.51468600440245e-05 *** df.mm.trans3:probe5 -0.303338576841252 0.054785465798376 -5.53684398627936 4.48307449825885e-08 *** df.mm.trans3:probe6 -0.859918913554359 0.054785465798376 -15.6961139423195 2.84309801340546e-47 *** df.mm.trans3:probe7 -0.321945256142431 0.054785465798376 -5.87647200677766 6.7150909943071e-09 *** df.mm.trans3:probe8 -0.306877230739964 0.054785465798376 -5.60143509355835 3.14764086259439e-08 *** df.mm.trans3:probe9 -0.414726929877845 0.054785465798376 -7.57001740943743 1.29280182254870e-13 *** df.mm.trans3:probe10 -0.606284939251498 0.054785465798376 -11.0665288761581 3.46699854954200e-26 *** df.mm.trans3:probe11 -0.68345893732447 0.054785465798376 -12.4751871206091 3.72665431015069e-32 *** df.mm.trans3:probe12 -0.38916856435244 0.054785465798376 -7.10350014700388 3.22205209218032e-12 *** df.mm.trans3:probe13 -0.598897595039004 0.054785465798376 -10.9316875618635 1.22142770965694e-25 *** df.mm.trans3:probe14 -0.729259390926569 0.054785465798376 -13.3111835465710 6.71060327784075e-36 *** df.mm.trans3:probe15 -0.544272294881862 0.054785465798376 -9.93461106792297 9.70507546372077e-22 *** df.mm.trans3:probe16 -0.593145667917951 0.054785465798376 -10.8266975423897 3.23283496141806e-25 *** df.mm.trans3:probe17 -0.649694657616286 0.054785465798376 -11.8588871728740 1.73033612003577e-29 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.71488732894495 0.202627328339908 23.2687632392591 1.87272525064224e-87 *** df.mm.trans1 -0.191007864112190 0.159917371365731 -1.19441598170942 0.232753654462804 df.mm.trans2 -0.218530596952847 0.159917371365731 -1.36652194246658 0.172250626386087 df.mm.exp2 -0.182399427363868 0.211757693171345 -0.86135915362602 0.389359863699483 df.mm.exp3 -0.369063798305919 0.211757693171345 -1.7428589855637 0.0818340665378239 . df.mm.exp4 -0.368225298392088 0.211757693171345 -1.73889927150905 0.0825288659714076 . df.mm.exp5 -0.312753542189716 0.211757693171345 -1.47694063675245 0.140178861329610 df.mm.exp6 -0.211436741727329 0.211757693171345 -0.998484345767043 0.318418406538386 df.mm.exp7 -0.177451478150136 0.211757693171345 -0.837993064112907 0.402344534921412 df.mm.exp8 -0.301917308743229 0.211757693171345 -1.42576783974942 0.154418387997236 df.mm.trans1:exp2 0.0985493805207541 0.160573221163800 0.613734842002233 0.539606607792638 df.mm.trans2:exp2 0.123822706071602 0.160573221163800 0.771129240443472 0.440912282604927 df.mm.trans1:exp3 0.11146969056715 0.160573221163800 0.694198508065306 0.487807291576183 df.mm.trans2:exp3 0.3111516729085 0.160573221163799 1.93775568960591 0.0530884944032034 . df.mm.trans1:exp4 0.0831375456384999 0.160573221163800 0.517754735415639 0.604806658412428 df.mm.trans2:exp4 0.319773457563776 0.160573221163800 1.99144947860003 0.0468521610237021 * df.mm.trans1:exp5 0.105254322364552 0.160573221163800 0.65549113109703 0.512384954886222 df.mm.trans2:exp5 0.306067196249657 0.160573221163800 1.90609115287935 0.0570819040628599 . df.mm.trans1:exp6 0.0236171465064134 0.160573221163800 0.147080231281664 0.883114582858624 df.mm.trans2:exp6 0.183508888757790 0.160573221163799 1.14283619290787 0.253529973473271 df.mm.trans1:exp7 0.17123249077726 0.160573221163800 1.06638261060097 0.286649093792892 df.mm.trans2:exp7 0.104686083265127 0.160573221163799 0.651952315002372 0.514663819924948 df.mm.trans1:exp8 0.0845145804244163 0.160573221163800 0.526330479091552 0.598839261884187 df.mm.trans2:exp8 0.341632206735914 0.160573221163799 2.12757895905580 0.0337501060729218 * df.mm.trans1:probe2 0.0405566344307498 0.119554050315112 0.339232625944948 0.734544740650455 df.mm.trans1:probe3 0.122883138600156 0.119554050315112 1.02784588457078 0.304407024151482 df.mm.trans1:probe4 0.0491296042671716 0.119554050315112 0.410940525542040 0.681252423904602 df.mm.trans1:probe5 0.072294536419266 0.119554050315112 0.604701691232688 0.54558955566617 df.mm.trans1:probe6 0.0525108030383971 0.119554050315112 0.439222283979447 0.660647356168673 df.mm.trans2:probe2 0.0543302093792919 0.119554050315112 0.454440558359105 0.649664421792573 df.mm.trans2:probe3 -0.047063724045889 0.119554050315112 -0.393660640704701 0.693961499102588 df.mm.trans2:probe4 -0.239159987510819 0.119554050315112 -2.00043400353613 0.0458714855583525 * df.mm.trans2:probe5 -0.140948912626339 0.119554050315112 -1.17895556239907 0.238849911117892 df.mm.trans2:probe6 0.0988720553498284 0.119554050315112 0.827007157760265 0.408538371705182 df.mm.trans3:probe2 0.152176676345598 0.119554050315112 1.27286926661624 0.20352233096012 df.mm.trans3:probe3 -0.0368212858812158 0.119554050315112 -0.307988610876545 0.758190276153173 df.mm.trans3:probe4 -0.0532546300751622 0.119554050315112 -0.4454439639209 0.656148179530982 df.mm.trans3:probe5 0.00889944233046444 0.119554050315112 0.0744386518650597 0.940684398372992 df.mm.trans3:probe6 -0.0284802221560581 0.119554050315112 -0.238220470833 0.811785642537543 df.mm.trans3:probe7 0.0270328790910672 0.119554050315112 0.226114289058513 0.821184053600098 df.mm.trans3:probe8 -0.0227524998105032 0.119554050315112 -0.190311409362826 0.849124901455027 df.mm.trans3:probe9 -0.158122036113602 0.119554050315112 -1.32259873836843 0.186436879681221 df.mm.trans3:probe10 -0.04830742690404 0.119554050315112 -0.404063490753470 0.686299760971375 df.mm.trans3:probe11 0.00177030923025972 0.119554050315112 0.0148076056444233 0.988190243710513 df.mm.trans3:probe12 0.0228689090409978 0.119554050315112 0.19128510477664 0.848362334358549 df.mm.trans3:probe13 0.0556931844901791 0.119554050315112 0.46584105133525 0.641486298533307 df.mm.trans3:probe14 -0.00589476190024688 0.119554050315112 -0.0493062500576928 0.960690478992505 df.mm.trans3:probe15 0.0869846374961693 0.119554050315112 0.727575830905783 0.467136886268344 df.mm.trans3:probe16 -0.0499291450114001 0.119554050315112 -0.417628218197548 0.676357729568903 df.mm.trans3:probe17 0.0262809941939055 0.119554050315112 0.219825209807915 0.826076730042079