chr19.11858_chr19_6813597_6815044_+_1.R fitVsDatCorrelation=0.915880926742751 cont.fitVsDatCorrelation=0.33133906301065 fstatistic=6629.86078486025,37,347 cont.fstatistic=1192.57238943966,37,347 residuals=-0.747100223569895,-0.109218924358935,0.00199203008167705,0.110996261521767,0.665815707927181 cont.residuals=-1.10887179511238,-0.281550364682812,-0.0461918033317413,0.246466058479204,1.30356813018607 predictedValues: Include Exclude Both chr19.11858_chr19_6813597_6815044_+_1.R.tl.Lung 130.583786074189 107.357955590990 77.5244619716416 chr19.11858_chr19_6813597_6815044_+_1.R.tl.cerebhem 77.798516694676 107.247711753620 78.388723779454 chr19.11858_chr19_6813597_6815044_+_1.R.tl.cortex 105.61755860674 191.141757245539 141.327540956030 chr19.11858_chr19_6813597_6815044_+_1.R.tl.heart 132.535227373440 391.957652444808 316.940982220096 chr19.11858_chr19_6813597_6815044_+_1.R.tl.kidney 125.631763075810 188.590042422138 147.710407775026 chr19.11858_chr19_6813597_6815044_+_1.R.tl.liver 118.372916177416 133.229065949920 100.454475222434 chr19.11858_chr19_6813597_6815044_+_1.R.tl.stomach 135.504082137790 159.118102934936 104.001691487080 chr19.11858_chr19_6813597_6815044_+_1.R.tl.testicle 119.351603989871 195.953373738177 135.855293734026 diffExp=23.2258304831991,-29.4491950589442,-85.524198638799,-259.422425071369,-62.9582793463277,-14.8561497725047,-23.6140207971458,-76.6017697483054 diffExpScore=1.08572546801164 diffExp1.5=0,0,-1,-1,-1,0,0,-1 diffExp1.5Score=0.8 diffExp1.4=0,0,-1,-1,-1,0,0,-1 diffExp1.4Score=0.8 diffExp1.3=0,-1,-1,-1,-1,0,0,-1 diffExp1.3Score=0.833333333333333 diffExp1.2=1,-1,-1,-1,-1,0,0,-1 diffExp1.2Score=1.2 cont.predictedValues: Include Exclude Both Lung 113.729068059616 127.215997232942 140.898392518498 cerebhem 136.771236257193 120.820602701951 116.888837332524 cortex 133.396752827673 129.698234695855 186.923769475657 heart 149.999102077381 121.809751961411 158.07763654958 kidney 173.667165895199 131.872447307248 149.190649686778 liver 129.379795162932 108.891860867785 138.381671758831 stomach 135.968084904429 134.412820012051 128.237325844177 testicle 129.495337927770 116.309168370738 107.774727467661 cont.diffExp=-13.4869291733261,15.9506335552414,3.69851813181762,28.18935011597,41.7947185879512,20.4879342951478,1.55526489237769,13.1861695570314 cont.diffExpScore=1.23113420072805 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=0,0,0,0,1,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,0,1,1,0,0,0 cont.diffExp1.2Score=0.666666666666667 tran.correlation=0.384480177540325 cont.tran.correlation=0.309949032376762 tran.covariance=0.0324556860926100 cont.tran.covariance=0.0024957796723927 tran.mean=151.249444763129 cont.tran.mean=130.839839141386 weightedLogRatios: wLogRatio Lung 0.934988840252047 cerebhem -1.44928193623024 cortex -2.94010226580442 heart -5.88669485949377 kidney -2.04591526137797 liver -0.571400260331336 stomach -0.801509722507169 testicle -2.49387657460731 cont.weightedLogRatios: wLogRatio Lung -0.536786261519598 cerebhem 0.60219630264889 cortex 0.137191927779334 heart 1.02139000021453 kidney 1.38189252514533 liver 0.8234632503684 stomach 0.0564481626108763 testicle 0.516554737463068 varWeightedLogRatios=4.08019060468922 cont.varWeightedLogRatios=0.36688879532594 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.49301768376478 0.105097624504651 52.2658595725129 1.48663729547017e-166 *** df.mm.trans1 -0.523117901491915 0.087560743951554 -5.97434281487315 5.72643688912119e-09 *** df.mm.trans2 -0.741768814065292 0.087560743951554 -8.47147683527792 6.97917944449132e-16 *** df.mm.exp2 -0.530006665547926 0.120640311074372 -4.39327999760534 1.48530661137540e-05 *** df.mm.exp3 -0.235830377702808 0.120640311074372 -1.95482236080627 0.0514066310360105 . df.mm.exp4 -0.0983034642570368 0.120640311074372 -0.814847569453255 0.415718457322089 df.mm.exp5 -0.119913133644246 0.120640311074372 -0.99397235116811 0.320928936951009 df.mm.exp6 -0.141384912301156 0.120640311074372 -1.17195414237614 0.242019480960322 df.mm.exp7 0.136651150070803 0.120640311074372 1.13271549827619 0.258115811467260 df.mm.exp8 -0.0492299339050781 0.120640311074372 -0.40807200733036 0.683472485898385 df.mm.trans1:exp2 0.0121139713027508 0.101959672196277 0.118811399073850 0.905493527480412 df.mm.trans2:exp2 0.528979257013643 0.101959672196277 5.1881223783785 3.62075094215190e-07 *** df.mm.trans1:exp3 0.0236399502112667 0.101959672196277 0.231855886764314 0.816786618023605 df.mm.trans2:exp3 0.812677084514096 0.101959672196277 7.97057372791128 2.30096425697879e-14 *** df.mm.trans1:exp4 0.113136881689671 0.101959672196277 1.10962382727042 0.267929546906828 df.mm.trans2:exp4 1.39328863825015 0.101959672196277 13.6650953091335 2.59066865752636e-34 *** df.mm.trans1:exp5 0.08125318681121 0.101959672196277 0.796914947458772 0.426045348908613 df.mm.trans2:exp5 0.683320074628006 0.101959672196277 6.70186613892383 8.33868290652277e-11 *** df.mm.trans1:exp6 0.0432098004559379 0.101959672196277 0.423793049988989 0.671979324690986 df.mm.trans2:exp6 0.357286228955508 0.101959672196277 3.50419162066071 0.00051799010009334 *** df.mm.trans1:exp7 -0.099664443353324 0.101959672196277 -0.977488856196645 0.329008161540642 df.mm.trans2:exp7 0.256826931690713 0.101959672196277 2.51890699683997 0.0122208593728648 * df.mm.trans1:exp8 -0.0407113336481311 0.101959672196277 -0.39928858901939 0.689926205426487 df.mm.trans2:exp8 0.650938045260343 0.101959672196277 6.38426969446562 5.52471905049926e-10 *** df.mm.trans1:probe2 -0.099553814689183 0.0558456124177335 -1.78266134758279 0.075515601334049 . df.mm.trans1:probe3 -0.197084905085113 0.0558456124177335 -3.52910276300471 0.000473129588783857 *** df.mm.trans1:probe4 -0.299060944459137 0.0558456124177335 -5.3551377003822 1.55915654432433e-07 *** df.mm.trans1:probe5 -0.103126991778507 0.0558456124177335 -1.84664447776312 0.0656500027254163 . df.mm.trans1:probe6 -0.280020570450295 0.0558456124177335 -5.01419105865828 8.51244339894735e-07 *** df.mm.trans2:probe2 -0.312093697862475 0.0558456124177335 -5.5885088255093 4.63863256080064e-08 *** df.mm.trans2:probe3 -0.316650212216575 0.0558456124177335 -5.6701000939516 3.00736972043724e-08 *** df.mm.trans2:probe4 0.131084858051925 0.0558456124177335 2.34727228114880 0.0194728827395349 * df.mm.trans2:probe5 -0.114988232558728 0.0558456124177335 -2.05903790075035 0.0402364807529092 * df.mm.trans2:probe6 -0.138155107566807 0.0558456124177335 -2.47387577261014 0.0138434762822109 * df.mm.trans3:probe2 0.554764911416288 0.0558456124177335 9.93390326292 1.24686840356975e-20 *** df.mm.trans3:probe3 0.146093578369966 0.0558456124177335 2.6160260769846 0.0092846342371873 ** df.mm.trans3:probe4 -0.211008263017486 0.0558456124177335 -3.77842150676247 0.000185699486338537 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.68333027425573 0.247006690564024 18.9603377283492 1.59873799921861e-55 *** df.mm.trans1 0.110419752903301 0.205790470419625 0.536563975378189 0.591912658258882 df.mm.trans2 0.154902123350897 0.205790470419625 0.752717669749419 0.452129921819286 df.mm.exp2 0.31972674896215 0.283536037351409 1.12764060593076 0.260250835773189 df.mm.exp3 -0.103829032836014 0.283536037351409 -0.366193425731384 0.714443908299679 df.mm.exp4 0.11833702137445 0.283536037351409 0.417361484204512 0.676672126906532 df.mm.exp5 0.40208433762502 0.283536037351409 1.41810664133210 0.157057042595280 df.mm.exp6 -0.00857451096955341 0.283536037351408 -0.0302413444500755 0.975891961225845 df.mm.exp7 0.327786922492911 0.283536037351409 1.15606793956374 0.248448698100007 df.mm.exp8 0.308187157157684 0.283536037351409 1.08694175187235 0.277816993661068 df.mm.trans1:exp2 -0.135236050999054 0.239631688336407 -0.564349614768826 0.572880816307509 df.mm.trans2:exp2 -0.371306333243595 0.239631688336407 -1.54948761502000 0.122176073619889 df.mm.trans1:exp3 0.263337800560111 0.239631688336407 1.09892728456858 0.272561656462186 df.mm.trans2:exp3 0.123153105985629 0.239631688336407 0.513926629823433 0.607630395973575 df.mm.trans1:exp4 0.158473262713574 0.239631688336407 0.661320144317064 0.508845886472381 df.mm.trans2:exp4 -0.161763011347353 0.239631688336407 -0.675048498261474 0.500094495850366 df.mm.trans1:exp5 0.0212372662530451 0.239631688336407 0.0886246155526442 0.929431370380302 df.mm.trans2:exp5 -0.366135597902166 0.239631688336407 -1.52790977038132 0.127445941414600 df.mm.trans1:exp6 0.137507714524122 0.239631688336407 0.573829427479901 0.566454973137758 df.mm.trans2:exp6 -0.146956608799042 0.239631688336407 -0.613260332217571 0.540105970104059 df.mm.trans1:exp7 -0.149185757956030 0.239631688336407 -0.62256272946087 0.533980804088441 df.mm.trans2:exp7 -0.272757519366748 0.239631688336407 -1.13823643801164 0.255807020175135 df.mm.trans1:exp8 -0.178361301063413 0.239631688336407 -0.744314336311902 0.457190073796863 df.mm.trans2:exp8 -0.397821674350285 0.239631688336407 -1.66013801059484 0.0977900412796745 . df.mm.trans1:probe2 -0.266565741938257 0.131251681194897 -2.03095106677094 0.0430219074393821 * df.mm.trans1:probe3 -0.04741578650276 0.131251681194897 -0.361258507861332 0.718126059182481 df.mm.trans1:probe4 -0.216733982631344 0.131251681194897 -1.65128538284788 0.099584976657799 . df.mm.trans1:probe5 -0.0650427538612184 0.131251681194897 -0.495557491295182 0.620520336741826 df.mm.trans1:probe6 -0.00355176826148113 0.131251681194897 -0.0270607448921516 0.978426840115909 df.mm.trans2:probe2 0.0533457411681712 0.131251681194897 0.406438536120215 0.684670958454741 df.mm.trans2:probe3 0.0133227106253742 0.131251681194897 0.101505066480566 0.919208162451196 df.mm.trans2:probe4 -0.0650268620214372 0.131251681194897 -0.49543641216205 0.620605695551228 df.mm.trans2:probe5 0.0227354165155886 0.131251681194897 0.173220002278131 0.862579499599928 df.mm.trans2:probe6 0.0521630917286988 0.131251681194898 0.397427989141267 0.69129623439435 df.mm.trans3:probe2 -0.0876234787503635 0.131251681194898 -0.667598905801824 0.504833399122943 df.mm.trans3:probe3 -0.101170526407148 0.131251681194897 -0.770813184913938 0.44134218255809 df.mm.trans3:probe4 0.186341443798895 0.131251681194898 1.41972614828601 0.156585164855658