chr12.5462_chr12_81873333_81874837_+_1.R fitVsDatCorrelation=0.964306606551609 cont.fitVsDatCorrelation=0.244182456748788 fstatistic=8410.14274923798,37,347 cont.fstatistic=618.366916347059,37,347 residuals=-0.40056114141034,-0.0947088172611353,-0.00360512319052042,0.0974665551295212,0.539858903766889 cont.residuals=-0.920114492774762,-0.373165918988833,-0.156914451788924,0.233370593131050,1.94948291277757 predictedValues: Include Exclude Both chr12.5462_chr12_81873333_81874837_+_1.R.tl.Lung 77.6128324687619 66.6608705578491 90.008904339466 chr12.5462_chr12_81873333_81874837_+_1.R.tl.cerebhem 72.2862751768915 65.1256612326529 67.3620546792935 chr12.5462_chr12_81873333_81874837_+_1.R.tl.cortex 67.8574739249223 64.4615268469978 87.9217603628025 chr12.5462_chr12_81873333_81874837_+_1.R.tl.heart 69.1659584863344 78.4592199147088 105.813751461725 chr12.5462_chr12_81873333_81874837_+_1.R.tl.kidney 69.7377945091328 120.385538321405 214.383007260732 chr12.5462_chr12_81873333_81874837_+_1.R.tl.liver 75.1861921864996 253.506486402212 463.900252392032 chr12.5462_chr12_81873333_81874837_+_1.R.tl.stomach 69.083146263504 65.9661984429065 71.7495781859462 chr12.5462_chr12_81873333_81874837_+_1.R.tl.testicle 65.1956032709821 144.078749301141 257.693270525143 diffExp=10.9519619109128,7.16061394423853,3.39594707792453,-9.2932614283744,-50.6477438122719,-178.320294215712,3.1169478205975,-78.8831460301586 diffExpScore=1.16438781019613 diffExp1.5=0,0,0,0,-1,-1,0,-1 diffExp1.5Score=0.75 diffExp1.4=0,0,0,0,-1,-1,0,-1 diffExp1.4Score=0.75 diffExp1.3=0,0,0,0,-1,-1,0,-1 diffExp1.3Score=0.75 diffExp1.2=0,0,0,0,-1,-1,0,-1 diffExp1.2Score=0.75 cont.predictedValues: Include Exclude Both Lung 76.6204284870796 110.177369078928 79.9423919972235 cerebhem 98.1597260274564 88.520322055594 73.9871067140928 cortex 100.801903127482 90.2123318340686 90.2181277897836 heart 102.745285507577 109.915450744949 86.2095715337139 kidney 75.0364847521372 84.8438590258053 78.3667813902269 liver 85.6561890126556 96.9177121926002 88.8736467104692 stomach 74.22235614924 92.5849321585276 77.6311768916445 testicle 91.0497728255355 86.4946158125889 76.852903718176 cont.diffExp=-33.5569405918487,9.63940397186246,10.5895712934136,-7.17016523737183,-9.80737427366803,-11.2615231799447,-18.3625760092877,4.55515701294657 cont.diffExpScore=1.86152977331150 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=-1,0,0,0,0,0,0,0 cont.diffExp1.4Score=0.5 cont.diffExp1.3=-1,0,0,0,0,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=-1,0,0,0,0,0,-1,0 cont.diffExp1.2Score=0.666666666666667 tran.correlation=0.173666223710043 cont.tran.correlation=0.0655817063150813 tran.covariance=0.00149793387494035 cont.tran.covariance=0.000811693395271441 tran.mean=89.0480954566813 cont.tran.mean=91.497421174514 weightedLogRatios: wLogRatio Lung 0.650392866653183 cerebhem 0.441096170720603 cortex 0.215207952997821 heart -0.542044300171072 kidney -2.46648133806008 liver -5.98920793006057 stomach 0.194471475175960 testicle -3.62693727022271 cont.weightedLogRatios: wLogRatio Lung -1.64196305925204 cerebhem 0.46874620570217 cortex 0.505859890245306 heart -0.314760027441338 kidney -0.537956626315913 liver -0.557338475508178 stomach -0.97655820422803 testicle 0.230226983540436 varWeightedLogRatios=5.80540000090158 cont.varWeightedLogRatios=0.554390986802955 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.26376167905769 0.0861544574241912 49.4897397828713 2.6712109427779e-159 *** df.mm.trans1 0.303217254633939 0.0717784861680754 4.22434730545766 3.06601579191988e-05 *** df.mm.trans2 -0.095354222289619 0.0717784861680753 -1.32845128645287 0.184902069769894 df.mm.exp2 0.195428750135546 0.098895675264651 1.97611017481368 0.0489339958749607 * df.mm.exp3 -0.14441154582568 0.0988956752646509 -1.46024126372792 0.145128555166959 df.mm.exp4 -0.114034986824442 0.0988956752646509 -1.15308365627999 0.249669716361356 df.mm.exp5 -0.383764650862184 0.0988956752646509 -3.88049982807850 0.000124745894887418 *** df.mm.exp6 -0.335754856488061 0.0988956752646509 -3.39504084065922 0.000765644085289646 *** df.mm.exp7 0.099828977497579 0.0988956752646509 1.00943724010611 0.313468347001945 df.mm.exp8 -0.455460261617933 0.0988956752646509 -4.6054618707956 5.7857347838935e-06 *** df.mm.trans1:exp2 -0.266527250952455 0.0835821007241694 -3.18880775480896 0.00155865253548837 ** df.mm.trans2:exp2 -0.218728229297082 0.0835821007241694 -2.61692667930076 0.00926065621602193 ** df.mm.trans1:exp3 0.0100882993036295 0.0835821007241694 0.120699279106684 0.903999087745264 df.mm.trans2:exp3 0.110861976200350 0.0835821007241694 1.32638418082129 0.185584780238800 df.mm.trans1:exp4 -0.00118898136019169 0.0835821007241694 -0.0142253108008790 0.988658402146017 df.mm.trans2:exp4 0.276995852629936 0.0835821007241694 3.31405707956604 0.00101652849385531 ** df.mm.trans1:exp5 0.276774286751833 0.0835821007241694 3.31140620245022 0.00102590730876381 ** df.mm.trans2:exp5 0.974845930445071 0.0835821007241694 11.6633336802837 9.56408463764157e-27 *** df.mm.trans1:exp6 0.303989675660344 0.0835821007241694 3.6370188476543 0.000317644437947837 *** df.mm.trans2:exp6 1.67152613410938 0.0835821007241694 19.9986135742820 9.94642666611441e-60 *** df.mm.trans1:exp7 -0.216250960423572 0.0835821007241694 -2.58728793066861 0.0100795826581383 * df.mm.trans2:exp7 -0.110304643934565 0.0835821007241694 -1.31971609924693 0.187799830711315 df.mm.trans1:exp8 0.281119513399525 0.0835821007241694 3.36339372860765 0.00085588578084032 *** df.mm.trans2:exp8 1.22620214939374 0.0835821007241694 14.6706308978803 2.98823725979549e-38 *** df.mm.trans1:probe2 -0.431964096569825 0.0457798019702965 -9.4356916801453 5.78636285043491e-19 *** df.mm.trans1:probe3 -0.437484950081617 0.0457798019702965 -9.5562875166099 2.3088011836349e-19 *** df.mm.trans1:probe4 -0.35737539704534 0.0457798019702965 -7.80639892844486 7.01815383093696e-14 *** df.mm.trans1:probe5 -0.429616992217812 0.0457798019702965 -9.38442225015658 8.53429232559817e-19 *** df.mm.trans1:probe6 -0.496020097171016 0.0457798019702965 -10.8349113762626 9.3025969508507e-24 *** df.mm.trans2:probe2 0.0604248149586371 0.0457798019702965 1.31990118694360 0.187738083699241 df.mm.trans2:probe3 0.0387860204416145 0.0457798019702965 0.847229974187748 0.397450905176624 df.mm.trans2:probe4 0.158816231497634 0.0457798019702965 3.46913321295448 0.000587901228037523 *** df.mm.trans2:probe5 0.0513712849937967 0.0457798019702965 1.12213864592792 0.262579361621255 df.mm.trans2:probe6 0.00270840510782718 0.0457798019702965 0.059161573254172 0.95285747184417 df.mm.trans3:probe2 0.122860246884303 0.0457798019702965 2.68372167629775 0.00762973098750455 ** df.mm.trans3:probe3 -0.0653357938488719 0.0457798019702965 -1.42717510860497 0.154428647728849 df.mm.trans3:probe4 0.0556111115224881 0.0457798019702965 1.21475212056554 0.22528660601994 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.61972838304631 0.315522049442326 14.6415389707677 3.89324989508429e-38 *** df.mm.trans1 -0.272950055765391 0.262873166853228 -1.03833365357442 0.299837726586092 df.mm.trans2 0.0768571982808365 0.262873166853228 0.292373691848696 0.770175656516834 df.mm.exp2 0.106288348538196 0.362184001540978 0.293465056672778 0.769342140206263 df.mm.exp3 -0.0465559799248119 0.362184001540978 -0.128542342363912 0.897794259365876 df.mm.exp4 0.215534229910989 0.362184001540978 0.595095942929448 0.552167211746583 df.mm.exp5 -0.262262027359730 0.362184001540978 -0.724112678207455 0.469484467282289 df.mm.exp6 -0.122660858810189 0.362184001540978 -0.338670008306017 0.735063172711693 df.mm.exp7 -0.176426270974066 0.362184001540978 -0.487117791573976 0.626482423582079 df.mm.exp8 -0.0300537450731454 0.362184001540978 -0.0829792175945826 0.93391591073229 df.mm.trans1:exp2 0.141443929156409 0.306101349896957 0.462082016966026 0.64431208226995 df.mm.trans2:exp2 -0.325147708506823 0.306101349896957 -1.06222239338793 0.288873433721542 df.mm.trans1:exp3 0.320849483993986 0.306101349896957 1.04818055883123 0.295284942497924 df.mm.trans2:exp3 -0.153369399156433 0.306101349896957 -0.501041237511897 0.616659780246009 df.mm.trans1:exp4 0.0778550076519309 0.306101349896957 0.254343888643873 0.799380550982941 df.mm.trans2:exp4 -0.217914302626045 0.306101349896957 -0.711902455508288 0.477003520950685 df.mm.trans1:exp5 0.241372754350106 0.306101349896957 0.788538679856719 0.430920061396496 df.mm.trans2:exp5 0.000983128576994072 0.306101349896957 0.00321177471881461 0.997439224556565 df.mm.trans1:exp6 0.23413860868907 0.306101349896957 0.764905508479098 0.444847697833393 df.mm.trans2:exp6 -0.00556836400044017 0.306101349896957 -0.0181912428753243 0.985496743744208 df.mm.trans1:exp7 0.14462793995597 0.306101349896957 0.472483835842789 0.636878495496991 df.mm.trans2:exp7 0.00246116634667075 0.306101349896957 0.008040364237202 0.993589407073661 df.mm.trans1:exp8 0.202596324569047 0.306101349896957 0.661860278098241 0.508500051451231 df.mm.trans2:exp8 -0.211955601236406 0.306101349896957 -0.692436022604138 0.489126661165741 df.mm.trans1:probe2 0.123756354175936 0.167658614221345 0.738144918772568 0.460925296465027 df.mm.trans1:probe3 0.0700014013709063 0.167658614221345 0.417523440092912 0.676553799675967 df.mm.trans1:probe4 -0.141720305478270 0.167658614221345 -0.845290927259898 0.398530887297645 df.mm.trans1:probe5 -0.0639280627901329 0.167658614221345 -0.381299005046852 0.7032147494254 df.mm.trans1:probe6 -0.067255343859419 0.167658614221345 -0.401144576863958 0.688560588579456 df.mm.trans2:probe2 0.0792429932421363 0.167658614221345 0.472644925583834 0.636763659444301 df.mm.trans2:probe3 -0.00444758582893532 0.167658614221345 -0.0265276308622208 0.978851744225203 df.mm.trans2:probe4 -0.0939358076862897 0.167658614221345 -0.560280234466656 0.575649843283884 df.mm.trans2:probe5 0.0674077978109196 0.167658614221345 0.402053888635433 0.687891897894597 df.mm.trans2:probe6 0.00679192287988362 0.167658614221345 0.0405104319359150 0.967709488247967 df.mm.trans3:probe2 -0.132834481800472 0.167658614221345 -0.792291421573498 0.42873208269897 df.mm.trans3:probe3 -0.0319680621272207 0.167658614221345 -0.190673543830060 0.84889287235022 df.mm.trans3:probe4 -0.00451445734889395 0.167658614221345 -0.026926486120981 0.978533846861324