chr2.12871_chr2_74763663_74764594_-_1.R fitVsDatCorrelation=0.964416727771561 cont.fitVsDatCorrelation=0.261262047804830 fstatistic=7685.57135043173,41,439 cont.fstatistic=566.676426767009,41,439 residuals=-0.666976173787136,-0.104897210052534,0.00817800659370471,0.115021722012387,0.567377765786863 cont.residuals=-1.13314784064313,-0.51061405936734,-0.111969887342687,0.430333508933306,1.88511902735437 predictedValues: Include Exclude Both chr2.12871_chr2_74763663_74764594_-_1.R.tl.Lung 67.982483061424 48.9553455212829 81.1264387693326 chr2.12871_chr2_74763663_74764594_-_1.R.tl.cerebhem 75.2634191603279 48.4170254558258 100.879392508764 chr2.12871_chr2_74763663_74764594_-_1.R.tl.cortex 107.604036539762 50.6367726391954 128.415738437519 chr2.12871_chr2_74763663_74764594_-_1.R.tl.heart 352.905353091552 49.8433746806012 381.051310077916 chr2.12871_chr2_74763663_74764594_-_1.R.tl.kidney 190.382489863446 54.0698802510265 220.795736016066 chr2.12871_chr2_74763663_74764594_-_1.R.tl.liver 109.046746004194 51.6749261122147 109.742873885257 chr2.12871_chr2_74763663_74764594_-_1.R.tl.stomach 131.850144032784 52.9461256004001 157.770864344681 chr2.12871_chr2_74763663_74764594_-_1.R.tl.testicle 119.049101105275 50.2340683364193 138.017587929150 diffExp=19.0271375401411,26.8463937045022,56.9672639005662,303.061978410951,136.312609612419,57.3718198919795,78.904018432384,68.8150327688555 diffExpScore=0.998663648747682 diffExp1.5=0,1,1,1,1,1,1,1 diffExp1.5Score=0.875 diffExp1.4=0,1,1,1,1,1,1,1 diffExp1.4Score=0.875 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 94.9652786622043 91.8171315968396 103.61601569572 cerebhem 107.046262456822 107.920595304261 100.380668699461 cortex 90.2368648883646 121.069186507506 105.028606747602 heart 89.9331122539305 74.9590925575441 107.613541899329 kidney 87.7256437226998 91.2980456265273 94.3210316422032 liver 86.2778054516716 112.478229731287 102.220241126011 stomach 95.6539400135619 125.635846065351 120.313291847957 testicle 137.059818588020 114.419120880332 89.7627946378195 cont.diffExp=3.14814706536465,-0.874332847439447,-30.8323216191411,14.9740196963865,-3.57240190382744,-26.2004242796149,-29.9819060517891,22.6406977076881 cont.diffExpScore=2.55760214144872 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,-1,0,0,-1,-1,0 cont.diffExp1.3Score=0.75 cont.diffExp1.2=0,0,-1,0,0,-1,-1,0 cont.diffExp1.2Score=0.75 tran.correlation=0.174728689692608 cont.tran.correlation=0.272501200445073 tran.covariance=0.00775755667836413 cont.tran.covariance=0.00778818050831057 tran.mean=97.5538307159831 cont.tran.mean=101.780998394183 weightedLogRatios: wLogRatio Lung 1.33145083912127 cerebhem 1.80887160608304 cortex 3.24243650776944 heart 9.56645738159978 kidney 5.81502859905986 liver 3.22497937343938 stomach 4.03775988337071 testicle 3.75173850912186 cont.weightedLogRatios: wLogRatio Lung 0.152941704891239 cerebhem -0.0380483248864817 cortex -1.36657086461399 heart 0.802801908771613 kidney -0.179385416073856 liver -1.21725375375765 stomach -1.28065742722071 testicle 0.87207869998766 varWeightedLogRatios=6.76625610312507 cont.varWeightedLogRatios=0.830888433313308 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.89974059313652 0.092273392869708 42.2628936885744 8.00651182756117e-157 *** df.mm.trans1 0.385642808950939 0.074450774966497 5.17983606113541 3.39084837909843e-07 *** df.mm.trans2 -0.0282130913555807 0.074450774966497 -0.378949599494118 0.7049085014485 df.mm.exp2 -0.127229663381377 0.100285856851349 -1.26867005354469 0.205231060048926 df.mm.exp3 0.0337135218517224 0.100285856851349 0.336174241415665 0.736900097772327 df.mm.exp4 0.118001717132166 0.100285856851349 1.17665362631419 0.239971393627344 df.mm.exp5 0.127924712530472 0.100285856851349 1.27560073321296 0.202771255098606 df.mm.exp6 0.224459482423652 0.100285856851349 2.23819678537883 0.0257088704292088 * df.mm.exp7 0.0756474223054499 0.100285856851349 0.75431795350345 0.451062748522704 df.mm.exp8 0.0546986185902039 0.100285856851349 0.545427045323868 0.585736854815352 df.mm.trans1:exp2 0.228973808870743 0.0800004384026996 2.86215692616775 0.00440892290126765 ** df.mm.trans2:exp2 0.116172614147520 0.0800004384026996 1.45214971901454 0.147174286608521 df.mm.trans1:exp3 0.425494569529249 0.0800004384026997 5.31865297271784 1.66894283497245e-07 *** df.mm.trans2:exp3 5.5955782117041e-05 0.0800004384026996 0.000699443443489339 0.999442242646336 df.mm.trans1:exp4 1.52894811234332 0.0800004384026996 19.1117466712748 1.08956836893754e-59 *** df.mm.trans2:exp4 -0.100024701377929 0.0800004384026996 -1.25030191552742 0.211855319817904 df.mm.trans1:exp5 0.901860370641722 0.0800004384026996 11.2731928555443 4.62357209973966e-26 *** df.mm.trans2:exp5 -0.0285559905593409 0.0800004384026996 -0.356947925905082 0.721302303740385 df.mm.trans1:exp6 0.248067100340966 0.0800004384026996 3.10082176165418 0.00205415369480019 ** df.mm.trans2:exp6 -0.170395373430045 0.0800004384026996 -2.12993049578457 0.0337329089394267 * df.mm.trans1:exp7 0.586768512938947 0.0800004384026996 7.33456621806645 1.08210033718332e-12 *** df.mm.trans2:exp7 0.00271890943878354 0.0800004384026996 0.0339861817393714 0.972903616717192 df.mm.trans1:exp8 0.505587333796361 0.0800004384026996 6.31980703969868 6.44080433840378e-10 *** df.mm.trans2:exp8 -0.0289137366704869 0.0800004384026996 -0.361419727788783 0.717959580131028 df.mm.trans1:probe2 -0.446296522609292 0.0523725806585747 -8.52156829007091 2.54782152367934e-16 *** df.mm.trans1:probe3 0.0412586553253528 0.0523725806585747 0.787791145796778 0.431244024803015 df.mm.trans1:probe4 -0.287847686391963 0.0523725806585747 -5.49615242885373 6.5933836947633e-08 *** df.mm.trans1:probe5 -0.00917047942772871 0.0523725806585747 -0.175100774344357 0.861081179771784 df.mm.trans1:probe6 -0.223810616777151 0.0523725806585747 -4.2734311344367 2.36236920672158e-05 *** df.mm.trans2:probe2 0.0917426090635755 0.0523725806585747 1.75172977748911 0.0805185444460207 . df.mm.trans2:probe3 -0.00915362776154793 0.0523725806585747 -0.174779009291559 0.861333859929975 df.mm.trans2:probe4 0.126388187588595 0.0523725806585747 2.41325109435679 0.0162195827031888 * df.mm.trans2:probe5 0.0330434924249925 0.0523725806585747 0.630931147739469 0.528413876156355 df.mm.trans2:probe6 0.0293142477984185 0.0523725806585747 0.559725097174851 0.575952429970839 df.mm.trans3:probe2 0.0713951887394915 0.0523725806585747 1.36321693225179 0.173512885371147 df.mm.trans3:probe3 -0.436791927057657 0.0523725806585747 -8.34008791556738 9.67945544047234e-16 *** df.mm.trans3:probe4 0.591287027117993 0.0523725806585747 11.2900112937472 3.98660780080166e-26 *** df.mm.trans3:probe5 0.00740333351866836 0.0523725806585747 0.141358959699387 0.88765121759733 df.mm.trans3:probe6 0.582611219780311 0.0523725806585747 11.1243557688793 1.70768608136015e-25 *** df.mm.trans3:probe7 -0.037441898609915 0.0523725806585747 -0.714914142841362 0.47504210129473 df.mm.trans3:probe8 0.332245851313505 0.0523725806585747 6.3438892476861 5.58236795355347e-10 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.47960836771524 0.336887274101067 13.2970542733275 3.85624687345239e-34 *** df.mm.trans1 0.11640798799805 0.271817453039694 0.428257960246028 0.668673353758246 df.mm.trans2 0.0308818529791025 0.271817453039694 0.113612472759771 0.909596937332932 df.mm.exp2 0.313068856183273 0.366140529732619 0.855051082194854 0.392989264098401 df.mm.exp3 0.211949132047295 0.366140529732619 0.578873724255753 0.562971261090551 df.mm.exp4 -0.295156091289924 0.366140529732619 -0.80612788621207 0.420605570270472 df.mm.exp5 0.0090211204523686 0.366140529732619 0.0246384098994899 0.980354577224765 df.mm.exp6 0.120584036784724 0.366140529732618 0.329338128375963 0.742057197144213 df.mm.exp7 0.171407066486458 0.366140529732619 0.468145568619871 0.639912830922032 df.mm.exp8 0.730496765846737 0.366140529732619 1.99512675196105 0.0466467248990827 * df.mm.trans1:exp2 -0.193319092779553 0.292079100834965 -0.661872390824651 0.508400274881515 df.mm.trans2:exp2 -0.151472027053745 0.292079100834965 -0.518599333607685 0.604301470436237 df.mm.trans1:exp3 -0.263022423856983 0.292079100834965 -0.900517781330749 0.368338496600219 df.mm.trans2:exp3 0.064614140541153 0.292079100834965 0.221221375841137 0.825022923872691 df.mm.trans1:exp4 0.240710951106369 0.292079100834965 0.824129321195011 0.410313602027652 df.mm.trans2:exp4 0.0922997245404055 0.292079100834965 0.316009342251975 0.752145605016872 df.mm.trans1:exp5 -0.08831819807554 0.292079100834965 -0.302377670374447 0.762507385452103 df.mm.trans2:exp5 -0.0146906380599899 0.292079100834965 -0.0502967792560093 0.959908766270038 df.mm.trans1:exp6 -0.216522987806153 0.292079100834965 -0.74131626394076 0.458898067619203 df.mm.trans2:exp6 0.0823767537166255 0.292079100834965 0.282035768670663 0.778048993066509 df.mm.trans1:exp7 -0.164181516488845 0.292079100834965 -0.562113194745876 0.574325785892521 df.mm.trans2:exp7 0.142181646521390 0.292079100834965 0.486791578428363 0.626648984200579 df.mm.trans1:exp8 -0.363590640312635 0.292079100834965 -1.24483620797668 0.213856077389531 df.mm.trans2:exp8 -0.510427459222425 0.292079100834965 -1.74756584008671 0.0812384074126325 . df.mm.trans1:probe2 -0.107208125028711 0.191210655498695 -0.560680704478013 0.575301259601782 df.mm.trans1:probe3 -0.167423916327716 0.191210655498695 -0.875599301153268 0.38172672529849 df.mm.trans1:probe4 0.00606739009042579 0.191210655498695 0.0317314433894987 0.97470064045081 df.mm.trans1:probe5 -0.116590771660532 0.191210655498695 -0.6097503894668 0.542342635030817 df.mm.trans1:probe6 -0.209914838676748 0.191210655498695 -1.09781977437016 0.272884961170584 df.mm.trans2:probe2 0.0482633854531438 0.191210655498695 0.252409497406242 0.800842695308695 df.mm.trans2:probe3 0.146738764805102 0.191210655498695 0.767419391050116 0.443244744081113 df.mm.trans2:probe4 0.131973087424538 0.191210655498695 0.69019734847067 0.490434807562565 df.mm.trans2:probe5 -0.0879827746736305 0.191210655498695 -0.460135312251105 0.645646913600319 df.mm.trans2:probe6 -0.108670967887732 0.191210655498695 -0.568331129896018 0.570100730917912 df.mm.trans3:probe2 -0.109305908046693 0.191210655498695 -0.571651761569528 0.567850486256036 df.mm.trans3:probe3 -0.00160275489427532 0.191210655498695 -0.00838214214628984 0.993315904202351 df.mm.trans3:probe4 -0.0463397560214022 0.191210655498695 -0.242349234672847 0.80862274440762 df.mm.trans3:probe5 -0.0689875548714059 0.191210655498695 -0.360793464629259 0.718427394711697 df.mm.trans3:probe6 0.121470048957395 0.191210655498695 0.63526820009371 0.525584486066829 df.mm.trans3:probe7 -0.0326529964085669 0.191210655498695 -0.170769752989993 0.864483490920807 df.mm.trans3:probe8 0.24776852802466 0.191210655498695 1.29578828846361 0.195729309599183