chr1.397_chr1_172567775_172568205_-_1.R fitVsDatCorrelation=0.9310962682292 cont.fitVsDatCorrelation=0.264080934068976 fstatistic=10721.4088661866,43,485 cont.fstatistic=1523.86887161221,43,485 residuals=-0.769707499662906,-0.0772026269848784,-0.00399456170756727,0.0824794202135742,0.58388673314531 cont.residuals=-0.82343323369253,-0.266515670079358,-0.0720809212914749,0.260053964069793,1.06741041541432 predictedValues: Include Exclude Both chr1.397_chr1_172567775_172568205_-_1.R.tl.Lung 60.4080628447929 56.327725103193 87.1943266435722 chr1.397_chr1_172567775_172568205_-_1.R.tl.cerebhem 61.7139701384175 55.2966953025858 83.1664078115138 chr1.397_chr1_172567775_172568205_-_1.R.tl.cortex 63.5153259324765 67.6749681266035 111.108607417561 chr1.397_chr1_172567775_172568205_-_1.R.tl.heart 67.8732613944819 61.6290423068913 102.674286976291 chr1.397_chr1_172567775_172568205_-_1.R.tl.kidney 63.32754983288 69.3097072954461 109.176247358428 chr1.397_chr1_172567775_172568205_-_1.R.tl.liver 67.7551006742712 70.6303248035715 108.423032595213 chr1.397_chr1_172567775_172568205_-_1.R.tl.stomach 64.8053005985568 58.1270428790328 104.573275143121 chr1.397_chr1_172567775_172568205_-_1.R.tl.testicle 61.1946665786338 59.4532721356608 101.313056937126 diffExp=4.0803377415999,6.4172748358317,-4.15964219412696,6.24421908759064,-5.98215746256604,-2.87522412930021,6.67825771952403,1.74139444297300 diffExpScore=2.90453221303109 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 77.4863421872286 77.8677287180906 76.343598723281 cerebhem 64.2214817454523 69.9359007781697 76.5194040027692 cortex 71.3376336476632 71.7297861694767 66.6002566609879 heart 59.3249993433784 71.5326734612998 72.2603738048968 kidney 66.1315086306558 71.4791599701916 66.198672881942 liver 76.9526897858974 78.0449859085742 80.2577997218192 stomach 72.6774427851084 78.9651389519382 68.1888576484397 testicle 73.7057018630327 72.6887648488797 68.2011225358479 cont.diffExp=-0.381386530861974,-5.71441903271742,-0.392152521813529,-12.2076741179214,-5.34765133953573,-1.0922961226768,-6.28769616682978,1.016937014153 cont.diffExpScore=1.03291927894845 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,-1,0,0,0,0 cont.diffExp1.2Score=0.5 tran.correlation=0.526957189054456 cont.tran.correlation=0.749036826470354 tran.covariance=0.00229084800955728 cont.tran.covariance=0.00336961703338663 tran.mean=63.0651259967185 cont.tran.mean=72.1301211746898 weightedLogRatios: wLogRatio Lung 0.28436945813682 cerebhem 0.446612291420357 cortex -0.265349091226436 heart 0.402383177053468 kidney -0.378519962683097 liver -0.176075722319877 stomach 0.447751057760251 testicle 0.118353627992290 cont.weightedLogRatios: wLogRatio Lung -0.021370663863152 cerebhem -0.358436367846746 cortex -0.0234093854290006 heart -0.781538723510162 kidney -0.328968311433872 liver -0.061314814709736 stomach -0.359077677098126 testicle 0.059645923560345 varWeightedLogRatios=0.114960572844504 cont.varWeightedLogRatios=0.0779362070599381 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.62442023338294 0.0731088025103936 49.5757023631685 5.21732221665555e-192 *** df.mm.trans1 0.591319392882468 0.0585274196741587 10.1032882736764 6.58431510277115e-22 *** df.mm.trans2 0.425399797487811 0.0585274196741587 7.26838462819907 1.46542412382268e-12 *** df.mm.exp2 0.0502097725557802 0.0783722022309162 0.640657926235656 0.522047531064985 df.mm.exp3 -0.00868075996824931 0.0783722022309161 -0.110763251779914 0.911849906547847 df.mm.exp4 0.043043486834993 0.0783722022309161 0.549218799647476 0.583108076448505 df.mm.exp5 0.0297717226895729 0.0783722022309161 0.379876050973448 0.7042037135489 df.mm.exp6 0.123148595067399 0.0783722022309161 1.57133003235705 0.116758128654843 df.mm.exp7 -0.0800398006394026 0.0783722022309162 -1.02127793223895 0.307631920669217 df.mm.exp8 -0.0831347830232272 0.0783722022309162 -1.06076875035715 0.289322956455031 df.mm.trans1:exp2 -0.0288220337174145 0.0614802136151818 -0.468801782274505 0.639421969743508 df.mm.trans2:exp2 -0.0686834921779767 0.0614802136151818 -1.11716417590677 0.264477246605903 df.mm.trans1:exp3 0.0588394031737348 0.0614802136151818 0.957046173294446 0.339020756465107 df.mm.trans2:exp3 0.192210257573181 0.0614802136151818 3.12637589023791 0.00187598735648604 ** df.mm.trans1:exp4 0.0734760894372863 0.0614802136151818 1.19511766659090 0.232625122083272 df.mm.trans2:exp4 0.0469028717023513 0.0614802136151818 0.762893766048484 0.445897646795849 df.mm.trans1:exp5 0.0174261513653188 0.0614802136151818 0.283443246869520 0.776958029184445 df.mm.trans2:exp5 0.177626383191954 0.0614802136151818 2.88916340310326 0.00403559009543433 ** df.mm.trans1:exp6 -0.00837143827587378 0.0614802136151818 -0.136164755839537 0.891747535511093 df.mm.trans2:exp6 0.103124120088002 0.0614802136151818 1.67735461580337 0.0941174538312078 . df.mm.trans1:exp7 0.150304613173199 0.0614802136151818 2.44476400348881 0.0148495692807314 * df.mm.trans2:exp7 0.111483943317338 0.0614802136151818 1.81333044831530 0.0703988424072182 . df.mm.trans1:exp8 0.0960722344965136 0.0614802136151818 1.56265290647575 0.118786492300921 df.mm.trans2:exp8 0.137138577856319 0.0614802136151818 2.23061322972460 0.0261633695448004 * df.mm.trans1:probe2 -0.247825060149383 0.0420926247965891 -5.88761241065358 7.3234290895156e-09 *** df.mm.trans1:probe3 -0.5053767593053 0.0420926247965891 -12.0063018580455 2.95206572182032e-29 *** df.mm.trans1:probe4 -0.300984422651523 0.0420926247965891 -7.15052634769198 3.20201612000595e-12 *** df.mm.trans1:probe5 -0.368357905860663 0.0420926247965891 -8.75112701193468 3.5127403476637e-17 *** df.mm.trans1:probe6 -0.411328482847758 0.0420926247965891 -9.77198463710653 1.04275966173530e-20 *** df.mm.trans2:probe2 -0.0129334900483422 0.0420926247965891 -0.307262616927377 0.758775376011977 df.mm.trans2:probe3 -0.127791569639259 0.0420926247965891 -3.03596105628496 0.00252667124776843 ** df.mm.trans2:probe4 0.00701313181051558 0.0420926247965891 0.166611890905028 0.867744874301863 df.mm.trans2:probe5 -0.0511409029992303 0.0420926247965891 -1.21496113027797 0.224972063848885 df.mm.trans2:probe6 -0.113277792369167 0.0420926247965891 -2.6911553488664 0.00736641097298908 ** df.mm.trans3:probe2 0.0336781142041158 0.0420926247965891 0.800095369838871 0.424047256956356 df.mm.trans3:probe3 -0.0307051322208246 0.0420926247965891 -0.729465847501929 0.466068889141063 df.mm.trans3:probe4 -0.305506491276341 0.0420926247965891 -7.25795772424953 1.57096924442000e-12 *** df.mm.trans3:probe5 -0.54760044676183 0.0420926247965891 -13.0094155308225 2.11483993892116e-33 *** df.mm.trans3:probe6 -0.531187104562141 0.0420926247965891 -12.6194816105928 9.03887635321463e-32 *** df.mm.trans3:probe7 -0.211223432529701 0.0420926247965891 -5.01806274971992 7.33955256934342e-07 *** df.mm.trans3:probe8 -0.338559134365402 0.0420926247965891 -8.04319369489252 6.76485005020407e-15 *** df.mm.trans3:probe9 0.223116783937548 0.0420926247965891 5.30061465674214 1.75586183781989e-07 *** df.mm.trans3:probe10 -0.0220147202433724 0.0420926247965891 -0.523006592004125 0.601208511574675 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.31007996587441 0.193307544460770 22.2964912098871 2.49370756928020e-76 *** df.mm.trans1 -0.00848865393627932 0.154752798464017 -0.054852991484048 0.956278170806806 df.mm.trans2 0.049639960923898 0.154752798464017 0.32076939103263 0.748523322692227 df.mm.exp2 -0.29749658064525 0.207224539959979 -1.43562427839244 0.151753890847736 df.mm.exp3 -0.0282474385072966 0.207224539959979 -0.136313192022296 0.891630257319713 df.mm.exp4 -0.296959896303099 0.207224539959979 -1.43303440972990 0.152492275347276 df.mm.exp5 -0.101478268446885 0.207224539959979 -0.48970198445842 0.624566215692421 df.mm.exp6 -0.0546368381742419 0.207224539959979 -0.263660077058411 0.792153845286753 df.mm.exp7 0.0628872548032276 0.207224539959979 0.303473974729889 0.761658815347975 df.mm.exp8 -0.00606313642022836 0.207224539959979 -0.0292587761150264 0.976670240313698 df.mm.trans1:exp2 0.109732651013048 0.162560303530957 0.67502735064807 0.499980057147465 df.mm.trans2:exp2 0.190064098461352 0.162560303530957 1.16919133597187 0.242900854112544 df.mm.trans1:exp3 -0.0544302431624774 0.162560303530957 -0.334831087173210 0.737897267464724 df.mm.trans2:exp3 -0.0538580739580977 0.162560303530957 -0.331311352084436 0.740552420310355 df.mm.trans1:exp4 0.0298889965699286 0.162560303530957 0.18386405488125 0.854196949555229 df.mm.trans2:exp4 0.212102611558112 0.162560303530957 1.30476264469893 0.192592429394233 df.mm.trans1:exp5 -0.0569781080082107 0.162560303530957 -0.350504439094875 0.726112338000713 df.mm.trans2:exp5 0.0158726051611598 0.162560303530957 0.097641335654477 0.922257437772735 df.mm.trans1:exp6 0.0477259618438555 0.162560303530957 0.293589276146786 0.769197359600512 df.mm.trans2:exp6 0.0569106394774762 0.162560303530957 0.350089402156157 0.726423585374307 df.mm.trans1:exp7 -0.126957887455768 0.162560303530957 -0.780989483275606 0.435189712362885 df.mm.trans2:exp7 -0.0488923803698523 0.162560303530957 -0.300764573563567 0.763722912094831 df.mm.trans1:exp8 -0.0439583925153744 0.162560303530957 -0.27041283487148 0.78695769884988 df.mm.trans2:exp8 -0.0627616338159038 0.162560303530957 -0.386082164296352 0.69960512213844 df.mm.trans1:probe2 0.127103787387749 0.111297431498490 1.14201905359760 0.25400959331077 df.mm.trans1:probe3 0.130383404739433 0.111297431498490 1.17148619679694 0.241978591982469 df.mm.trans1:probe4 0.24222004292771 0.111297431498490 2.17633093294697 0.0300123348862361 * df.mm.trans1:probe5 0.189554459566306 0.111297431498490 1.70313417851766 0.089183614075457 . df.mm.trans1:probe6 0.0869043701573108 0.111297431498490 0.780829970532518 0.435283447230581 df.mm.trans2:probe2 0.0162169965721055 0.111297431498490 0.145708632748866 0.884211943517244 df.mm.trans2:probe3 0.0686765252971627 0.111297431498490 0.617054000011623 0.537488671102339 df.mm.trans2:probe4 -0.189799741155361 0.111297431498490 -1.70533801723839 0.088771712305404 . df.mm.trans2:probe5 0.0101951104044326 0.111297431498490 0.0916023871096338 0.927051776320513 df.mm.trans2:probe6 0.0193779049405454 0.111297431498490 0.174109183650014 0.861852305381546 df.mm.trans3:probe2 -0.0894365693095937 0.111297431498490 -0.803581611052787 0.422032305378371 df.mm.trans3:probe3 0.0158856058307060 0.111297431498490 0.142731109036613 0.88656182267052 df.mm.trans3:probe4 0.0366464403092154 0.111297431498490 0.32926582236278 0.742096917205482 df.mm.trans3:probe5 0.0241977517832711 0.111297431498490 0.217415186114150 0.827976231081162 df.mm.trans3:probe6 0.0263164243048959 0.111297431498490 0.236451317434517 0.813182306592125 df.mm.trans3:probe7 -0.0656109225998811 0.111297431498490 -0.589509764210249 0.555793869130367 df.mm.trans3:probe8 -0.109725192949414 0.111297431498490 -0.985873541483324 0.324686732856764 df.mm.trans3:probe9 0.0599701834543667 0.111297431498490 0.538828099147826 0.590252703386317 df.mm.trans3:probe10 -0.0581145800900682 0.111297431498490 -0.522155626662927 0.601800375069286