chr15.8744_chr15_58324286_58331452_+_2.R fitVsDatCorrelation=0.796691627151746 cont.fitVsDatCorrelation=0.224754070240991 fstatistic=11371.7826629791,69,1083 cont.fstatistic=4365.25120746429,69,1083 residuals=-0.527421629202054,-0.0847284548450679,-0.00652971960840354,0.0735285050705906,1.83649610738391 cont.residuals=-0.490173912223678,-0.152329210513154,-0.0387732183881325,0.0966030658584883,1.85116307941954 predictedValues: Include Exclude Both chr15.8744_chr15_58324286_58331452_+_2.R.tl.Lung 48.7737846988411 47.9895028526764 59.6771778276954 chr15.8744_chr15_58324286_58331452_+_2.R.tl.cerebhem 54.6050932841311 43.9930732383829 69.9171354259169 chr15.8744_chr15_58324286_58331452_+_2.R.tl.cortex 50.0652027060317 45.4696386246378 60.0179402436898 chr15.8744_chr15_58324286_58331452_+_2.R.tl.heart 50.0292746651702 45.080654788527 59.010176650479 chr15.8744_chr15_58324286_58331452_+_2.R.tl.kidney 48.4523283189644 48.1588650872097 59.5938935089937 chr15.8744_chr15_58324286_58331452_+_2.R.tl.liver 52.0613794830102 47.2692782710459 62.470526034705 chr15.8744_chr15_58324286_58331452_+_2.R.tl.stomach 53.4273327064493 45.3139167533416 63.4461222077143 chr15.8744_chr15_58324286_58331452_+_2.R.tl.testicle 50.826558381212 46.4106544209549 61.3898418201579 diffExp=0.784281846164767,10.6120200457481,4.5955640813939,4.94861987664326,0.293463231754721,4.79210121196425,8.11341595310774,4.41590396025711 diffExpScore=0.97471898266238 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=0,1,0,0,0,0,0,0 diffExp1.2Score=0.5 cont.predictedValues: Include Exclude Both Lung 51.5577305061334 50.1009837081578 54.3923626899252 cerebhem 51.4485308080061 56.8317815601747 54.0532315610034 cortex 54.637099010783 53.7098134192693 52.1914720637304 heart 52.9785342286566 50.3247463057267 52.2904884728751 kidney 53.3422959169344 49.9003284825081 56.3469264699591 liver 51.3566794685 53.7321954252905 56.37777810302 stomach 52.7217654389466 51.1364255463986 54.230454889791 testicle 52.0026182236095 55.6653999406172 53.793604326602 cont.diffExp=1.45674679797557,-5.38325075216857,0.927285591513765,2.65378792292987,3.44196743442631,-2.37551595679048,1.58533989254806,-3.66278171700771 cont.diffExpScore=9.11835279496379 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=-0.70992378594038 cont.tran.correlation=-0.290350773169448 tran.covariance=-0.000978030751676336 cont.tran.covariance=-0.000316782649222142 tran.mean=48.6204086425366 cont.tran.mean=52.590432999357 weightedLogRatios: wLogRatio Lung 0.0628826223199208 cerebhem 0.841058829183123 cortex 0.372145433073573 heart 0.402094019814874 kidney 0.0235566854156851 liver 0.376994962643363 stomach 0.641698184457806 testicle 0.352923381093904 cont.weightedLogRatios: wLogRatio Lung 0.112593086658095 cerebhem -0.397093768222201 cortex 0.0683352683206411 heart 0.202691572970838 kidney 0.263031140339675 liver -0.179124212685992 stomach 0.120591409429625 testicle -0.271260047686802 varWeightedLogRatios=0.0728327718257694 cont.varWeightedLogRatios=0.0578149563541339 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.83490298170774 0.0693201098910432 55.3216517939082 0 *** df.mm.trans1 0.0600734271766241 0.0599945121134777 1.00131537136259 0.316898032134431 df.mm.trans2 -0.00359024404505364 0.0519660697743625 -0.0690882350857498 0.94493213941432 df.mm.exp2 -0.132377003858476 0.06574290941754 -2.01355560670027 0.0443032045776379 * df.mm.exp3 -0.0334980911093934 0.06574290941754 -0.509531619549167 0.610483447136304 df.mm.exp4 -0.0258739729127748 0.06574290941754 -0.393562943015596 0.693981211628361 df.mm.exp5 -0.00169308213709858 0.06574290941754 -0.0257530759149347 0.979459033742162 df.mm.exp6 0.00436351178067693 0.06574290941754 0.0663723558834887 0.947093628604253 df.mm.exp7 -0.0274800144933647 0.06574290941754 -0.417992065407941 0.676035780567222 df.mm.exp8 -0.0205219038093193 0.0657429094175401 -0.312153873187792 0.754983673678918 df.mm.trans1:exp2 0.245311196128943 0.0615317683458061 3.98674055246233 7.14777087799612e-05 *** df.mm.trans2:exp2 0.0454269025611332 0.0416125056671476 1.09166467706839 0.275223312522754 df.mm.trans1:exp3 0.0596313313961893 0.0615317683458061 0.969114540330834 0.332704418392896 df.mm.trans2:exp3 -0.0204393850634474 0.0416125056671476 -0.491183713543691 0.623396036368078 df.mm.trans1:exp4 0.0512893305881009 0.0615317683458061 0.833542281766661 0.404722758181331 df.mm.trans2:exp4 -0.0366551094096432 0.0416125056671475 -0.880867633947405 0.378584903987282 df.mm.trans1:exp5 -0.00491949428370201 0.0615317683458061 -0.0799504778743664 0.936291413463334 df.mm.trans2:exp5 0.0052160209726997 0.0416125056671475 0.125347437965450 0.900271761739401 df.mm.trans1:exp6 0.0608669156576592 0.0615317683458061 0.989194968615066 0.322788708330863 df.mm.trans2:exp6 -0.0194852317385892 0.0416125056671475 -0.468254228535258 0.639697019530852 df.mm.trans1:exp7 0.118609508223272 0.0615317683458061 1.9276141643889 0.0541644061442748 . df.mm.trans2:exp7 -0.0298880835222590 0.0416125056671476 -0.718247628761638 0.47275952950956 df.mm.trans1:exp8 0.0617479548378652 0.0615317683458061 1.00351341263011 0.315837366817408 df.mm.trans2:exp8 -0.0129313385984799 0.0416125056671475 -0.310756066984185 0.756045868160323 df.mm.trans1:probe2 -0.169605505286261 0.0440783068310067 -3.84782260209125 0.000126135617268071 *** df.mm.trans1:probe3 -0.130490758539276 0.0440783068310067 -2.96043037768145 0.00313901884988311 ** df.mm.trans1:probe4 0.165445162546132 0.0440783068310067 3.75343733552284 0.000183688700988243 *** df.mm.trans1:probe5 0.0907041351218548 0.0440783068310067 2.0577953565596 0.0398487086359555 * df.mm.trans1:probe6 0.00774781517900919 0.0440783068310067 0.175773883709141 0.860504447418143 df.mm.trans1:probe7 0.118712378696306 0.0440783068310067 2.69321548923015 0.00718594287664794 ** df.mm.trans1:probe8 -0.118412841897463 0.0440783068310067 -2.68641992877472 0.00733275531762492 ** df.mm.trans1:probe9 0.149523591245054 0.0440783068310067 3.39222628986902 0.000718327529837835 *** df.mm.trans1:probe10 -0.00581441246414028 0.0440783068310067 -0.131910975764844 0.89507920873469 df.mm.trans1:probe11 -0.0121511857296561 0.0440783068310067 -0.275672697144265 0.782852057514406 df.mm.trans1:probe12 -0.0911781680565743 0.0440783068310067 -2.06854969284881 0.0388252656547978 * df.mm.trans1:probe13 0.00471712092873899 0.0440783068310067 0.107016835896717 0.914795443714614 df.mm.trans1:probe14 -0.0980438182417096 0.0440783068310067 -2.22430999034521 0.0263331355396769 * df.mm.trans1:probe15 -0.0886099553755212 0.0440783068310067 -2.01028491668806 0.0446486143359686 * df.mm.trans1:probe16 -0.102424154085536 0.0440783068310067 -2.32368621776293 0.0203266943428275 * df.mm.trans1:probe17 -0.0362532728328779 0.0440783068310067 -0.822474260907311 0.410988076146201 df.mm.trans1:probe18 -0.0254512738453664 0.0440783068310067 -0.577410424201295 0.56378224833948 df.mm.trans1:probe19 -0.109166644363057 0.0440783068310067 -2.47665239914034 0.0134139516895727 * df.mm.trans1:probe20 0.0410097870167233 0.0440783068310067 0.930384807518857 0.352379217984184 df.mm.trans1:probe21 0.0833638343975185 0.0440783068310067 1.89126671124483 0.0588554117411247 . df.mm.trans1:probe22 -0.117226266579432 0.0440783068310067 -2.65950021694049 0.00794117332180475 ** df.mm.trans1:probe23 -0.19165965179583 0.0440783068310067 -4.34816274886965 1.50220214463964e-05 *** df.mm.trans1:probe24 0.113803852049584 0.0440783068310067 2.58185625155477 0.00995749589128544 ** df.mm.trans1:probe25 0.162393726879416 0.0440783068310067 3.68420972933518 0.000240756799418334 *** df.mm.trans1:probe26 -0.0719264284720539 0.0440783068310067 -1.63178746288543 0.103014986037521 df.mm.trans1:probe27 -0.12957559051089 0.0440783068310067 -2.9396680550293 0.00335539167128609 ** df.mm.trans1:probe28 0.230783522333947 0.0440783068310067 5.23576196378767 1.97284800243183e-07 *** df.mm.trans1:probe29 0.00288055685742318 0.0440783068310067 0.0653508962689299 0.947906680359362 df.mm.trans2:probe2 0.133068008021850 0.0440783068310067 3.01890017082608 0.00259632756606810 ** df.mm.trans2:probe3 0.202284564581743 0.0440783068310067 4.58920904918804 4.96935670571735e-06 *** df.mm.trans2:probe4 0.248447455575649 0.0440783068310067 5.63650179504807 2.21232551551030e-08 *** df.mm.trans2:probe5 0.120919973358260 0.0440783068310067 2.74329896159260 0.00618292384809405 ** df.mm.trans2:probe6 0.0490016148965887 0.0440783068310067 1.11169458220021 0.26651621427566 df.mm.trans3:probe2 -0.141836037529574 0.0440783068310067 -3.21781955176646 0.00132999573264351 ** df.mm.trans3:probe3 -0.0709812978715759 0.0440783068310067 -1.61034538245113 0.107613880392301 df.mm.trans3:probe4 0.31759580001195 0.0440783068310067 7.20526315199882 1.08359787892648e-12 *** df.mm.trans3:probe5 0.314778150244299 0.0440783068310067 7.14133942238611 1.69252764492475e-12 *** df.mm.trans3:probe6 0.4939427001156 0.0440783068310067 11.2060270828765 1.18295330441694e-27 *** df.mm.trans3:probe7 0.451845124035655 0.0440783068310067 10.2509637170956 1.3460969447803e-23 *** df.mm.trans3:probe8 0.168567236147134 0.0440783068310067 3.82426749723871 0.000138645937000058 *** df.mm.trans3:probe9 -0.0627667812285933 0.0440783068310067 -1.42398349077330 0.154739298893945 df.mm.trans3:probe10 -0.00903157449941793 0.0440783068310067 -0.204898398979897 0.83769000805611 df.mm.trans3:probe11 0.0191290905346013 0.0440783068310067 0.433979703620218 0.664389617885702 df.mm.trans3:probe12 0.84710157165176 0.0440783068310067 19.2181059698934 4.70674874121965e-71 *** df.mm.trans3:probe13 0.239981538253858 0.0440783068310067 5.44443640210437 6.4275547599088e-08 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.76673617910919 0.111760678923408 33.703590702868 6.980310112895e-171 *** df.mm.trans1 0.142741402759627 0.0967255738056358 1.47573591081980 0.140305470852978 df.mm.trans2 0.141364099910588 0.0837817950388789 1.68728898497565 0.0918357566126086 . df.mm.exp2 0.130189228187676 0.105993371944348 1.22827706864569 0.219609834341745 df.mm.exp3 0.168870688963110 0.105993371944348 1.59321932933482 0.111402790857707 df.mm.exp4 0.0710502065285066 0.105993371944347 0.67032688200364 0.502792343854813 df.mm.exp5 -0.00528960004550981 0.105993371944347 -0.0499050077233806 0.960207288749568 df.mm.exp6 0.0302132427758772 0.105993371944348 0.28504841596832 0.77566154974159 df.mm.exp7 0.0457637486481142 0.105993371944347 0.431760475288425 0.666001448440387 df.mm.exp8 0.124979203230183 0.105993371944348 1.17912281624368 0.238608247406874 df.mm.trans1:exp2 -0.132309482580814 0.0992040003470003 -1.33371116202992 0.182578953869155 df.mm.trans2:exp2 -0.00413416722294578 0.067089361115763 -0.0616218004492881 0.95087538559656 df.mm.trans1:exp3 -0.110859728426471 0.0992040003470004 -1.11749252085300 0.264031633415869 df.mm.trans2:exp3 -0.0993156016978067 0.067089361115763 -1.48034800221807 0.139071238873047 df.mm.trans1:exp4 -0.0438655501121702 0.0992040003470003 -0.442175214293126 0.658450705316263 df.mm.trans2:exp4 -0.0665939189249821 0.067089361115763 -0.992615189911767 0.321119238811085 df.mm.trans1:exp5 0.0393170003936003 0.0992040003470003 0.396324747551263 0.6919435454771 df.mm.trans2:exp5 0.00127654280568268 0.067089361115763 0.0190274998070112 0.984822672491907 df.mm.trans1:exp6 -0.0341203981188665 0.0992040003470003 -0.343941756375939 0.730956853602881 df.mm.trans2:exp6 0.0397584786641911 0.067089361115763 0.592619723946807 0.553559389555323 df.mm.trans1:exp7 -0.0234375324744430 0.0992040003470003 -0.236255921056228 0.813278762218088 df.mm.trans2:exp7 -0.0253073194749422 0.067089361115763 -0.377218072344947 0.706085454684965 df.mm.trans1:exp8 -0.116387296003858 0.0992040003470004 -1.17321172126883 0.240968875804473 df.mm.trans2:exp8 -0.0196610780896514 0.067089361115763 -0.293058061109363 0.769533914145275 df.mm.trans1:probe2 0.0358707369666951 0.0710648252717803 0.504760784671053 0.613829549928448 df.mm.trans1:probe3 0.0120708831436738 0.0710648252717803 0.169857353444688 0.865154043552161 df.mm.trans1:probe4 0.0179653624268396 0.0710648252717803 0.252802456885427 0.800468843170028 df.mm.trans1:probe5 0.025724712698505 0.0710648252717803 0.361989389267101 0.717430577447021 df.mm.trans1:probe6 0.0690517984932026 0.0710648252717803 0.97167337327744 0.331430029370096 df.mm.trans1:probe7 0.0208695495252771 0.0710648252717803 0.293669187892373 0.7690669683872 df.mm.trans1:probe8 0.139838082530788 0.0710648252717803 1.96775383596585 0.0493512204496382 * df.mm.trans1:probe9 -0.043500353059068 0.0710648252717803 -0.612122141899389 0.540585437028913 df.mm.trans1:probe10 0.091563496289674 0.0710648252717803 1.28845031194404 0.197864439817867 df.mm.trans1:probe11 -0.00213760318157263 0.0710648252717803 -0.0300796234057790 0.976009093589855 df.mm.trans1:probe12 0.0103476970663330 0.0710648252717803 0.145609266282711 0.884256948034914 df.mm.trans1:probe13 0.107409071314433 0.0710648252717803 1.51142384300050 0.130972217763256 df.mm.trans1:probe14 0.104560009677564 0.0710648252717803 1.47133281870018 0.141491628781937 df.mm.trans1:probe15 0.0450314449888618 0.0710648252717803 0.633667145689074 0.526431869647469 df.mm.trans1:probe16 0.0493982769253877 0.0710648252717803 0.695115716340243 0.487131896037102 df.mm.trans1:probe17 0.0691122635350968 0.0710648252717803 0.972524216738504 0.331006980431876 df.mm.trans1:probe18 -0.0284537496355005 0.0710648252717803 -0.400391466899159 0.688947174722137 df.mm.trans1:probe19 0.0303925796451419 0.0710648252717803 0.427674021977941 0.66897348919776 df.mm.trans1:probe20 0.00530116712424804 0.0710648252717803 0.0745962169607012 0.940549760057121 df.mm.trans1:probe21 0.00430303225946997 0.0710648252717803 0.0605508033406605 0.951728126405068 df.mm.trans1:probe22 0.155714040370305 0.0710648252717803 2.19115490363611 0.0286530526766355 * df.mm.trans1:probe23 0.00973524044195594 0.0710648252717803 0.136990985409793 0.891063382524257 df.mm.trans1:probe24 0.073285612626239 0.0710648252717803 1.03125016273474 0.302653763211089 df.mm.trans1:probe25 0.108015060787506 0.0710648252717803 1.51995112032448 0.128815139483061 df.mm.trans1:probe26 0.111323102688070 0.0710648252717803 1.56650075845999 0.117523556127774 df.mm.trans1:probe27 0.0695900158081377 0.0710648252717803 0.979246983891084 0.327676651854119 df.mm.trans1:probe28 0.0549351558319921 0.0710648252717803 0.773028789163952 0.439674023263106 df.mm.trans1:probe29 0.0481156169673956 0.0710648252717803 0.677066562583983 0.498508315757043 df.mm.trans2:probe2 -0.0329518100990808 0.0710648252717803 -0.463686640656047 0.642965446435917 df.mm.trans2:probe3 0.0742540662532938 0.0710648252717803 1.04487791209388 0.29631255908342 df.mm.trans2:probe4 0.0375137571866791 0.0710648252717803 0.52788080521146 0.597690203521097 df.mm.trans2:probe5 -0.0254113240647851 0.0710648252717803 -0.357579491226525 0.720727700736737 df.mm.trans2:probe6 0.059462222385299 0.0710648252717803 0.836732126729246 0.402927743386801 df.mm.trans3:probe2 -0.122337138137399 0.0710648252717803 -1.72148651135823 0.0854481468698593 . df.mm.trans3:probe3 -0.0325207620629441 0.0710648252717803 -0.457621079606848 0.647316487265066 df.mm.trans3:probe4 -0.0073439384638263 0.0710648252717803 -0.103341399007739 0.917711152246688 df.mm.trans3:probe5 -0.0304918265793394 0.0710648252717803 -0.429070591009356 0.667957189868706 df.mm.trans3:probe6 -0.173414565406120 0.0710648252717803 -2.44023065902032 0.0148373844133929 * df.mm.trans3:probe7 -0.0875760877095078 0.0710648252717803 -1.23234085744363 0.218089251224150 df.mm.trans3:probe8 -0.0348802407885541 0.0710648252717803 -0.490822860045855 0.6236511757178 df.mm.trans3:probe9 -0.0498660753121615 0.0710648252717803 -0.701698415797882 0.483018021298335 df.mm.trans3:probe10 0.00268750310197687 0.0710648252717803 0.0378176276617691 0.969840059150493 df.mm.trans3:probe11 -0.0476117073717259 0.0710648252717803 -0.669975718502645 0.503016091223859 df.mm.trans3:probe12 -0.0560525612665593 0.0710648252717803 -0.788752537590741 0.430429278566525 df.mm.trans3:probe13 -0.0706256835384449 0.0710648252717803 -0.993820547202418 0.320532231355525