chr11.3089_chr11_69904869_69905437_+_1.R fitVsDatCorrelation=0.892515627577314 cont.fitVsDatCorrelation=0.273594455391436 fstatistic=8894.45829648879,37,347 cont.fstatistic=1948.34656556066,37,347 residuals=-0.340288739246115,-0.0885165599349657,-7.77565848751879e-05,0.0950941179755841,0.495670977975181 cont.residuals=-0.600910967696944,-0.207137869752804,-0.041826277811649,0.163064745116991,1.25239340804404 predictedValues: Include Exclude Both chr11.3089_chr11_69904869_69905437_+_1.R.tl.Lung 61.7747229827438 50.6233027127395 81.7692392221065 chr11.3089_chr11_69904869_69905437_+_1.R.tl.cerebhem 63.1132749100722 50.6846078211375 70.4735015330111 chr11.3089_chr11_69904869_69905437_+_1.R.tl.cortex 69.6918978653749 54.1380935770838 87.145524142893 chr11.3089_chr11_69904869_69905437_+_1.R.tl.heart 68.3339719628918 55.9925854065245 90.0359423246013 chr11.3089_chr11_69904869_69905437_+_1.R.tl.kidney 64.489425082934 54.9678628163768 94.8027141431828 chr11.3089_chr11_69904869_69905437_+_1.R.tl.liver 67.3368519039589 53.5244710891581 85.3566937906323 chr11.3089_chr11_69904869_69905437_+_1.R.tl.stomach 65.6132969554346 50.3656997914191 84.3699714637366 chr11.3089_chr11_69904869_69905437_+_1.R.tl.testicle 90.7301887027134 51.8918703324441 105.120726692984 diffExp=11.1514202700043,12.4286670889346,15.5538042882911,12.3413865563673,9.52156226655718,13.8123808148009,15.2475971640155,38.8383183702694 diffExpScore=0.992301482376576 diffExp1.5=0,0,0,0,0,0,0,1 diffExp1.5Score=0.5 diffExp1.4=0,0,0,0,0,0,0,1 diffExp1.4Score=0.5 diffExp1.3=0,0,0,0,0,0,1,1 diffExp1.3Score=0.666666666666667 diffExp1.2=1,1,1,1,0,1,1,1 diffExp1.2Score=0.875 cont.predictedValues: Include Exclude Both Lung 60.0344358148165 57.7909770794114 65.0902023649373 cerebhem 69.4511359808486 70.2781310789481 63.0673302521709 cortex 63.4339625547155 60.7537124412947 59.0720078844035 heart 66.5082257582122 61.3458053212208 60.8673188436184 kidney 64.6066922858784 65.425974199913 68.3511443646999 liver 68.7897568404573 66.3780617671038 67.9955500983068 stomach 58.7647993511528 64.7313440921218 64.0098344045669 testicle 63.6437310976652 64.0367893700322 55.7850286381558 cont.diffExp=2.24345873540514,-0.826995098099516,2.68025011342082,5.16242043699145,-0.819281914034633,2.4116950733535,-5.96654474096903,-0.393058272366922 cont.diffExpScore=3.73341445921473 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=0.0319234992687470 cont.tran.correlation=0.613655873466626 tran.covariance=0.000353081536674564 cont.tran.covariance=0.00214758072436390 tran.mean=60.829507744563 cont.tran.mean=64.123345939612 weightedLogRatios: wLogRatio Lung 0.801097721525461 cerebhem 0.884971912872108 cortex 1.03993670327177 heart 0.82161228379297 kidney 0.652848786520896 liver 0.94006626346741 stomach 1.07150379489826 testicle 2.36259597890971 cont.weightedLogRatios: wLogRatio Lung 0.155232449930733 cerebhem -0.0502673568472638 cortex 0.178228637602142 heart 0.335874815065058 kidney -0.0526057786135702 liver 0.150362092115873 stomach -0.39859753028444 testicle -0.0255905038334416 varWeightedLogRatios=0.290117408205965 cont.varWeightedLogRatios=0.0493439588755105 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.73326156608236 0.0773808929703037 48.2452634336368 6.01248517146033e-156 *** df.mm.trans1 0.440209998115118 0.0644689029656948 6.82825327971476 3.85647552258338e-11 *** df.mm.trans2 0.247220331845924 0.0644689029656947 3.83472217570501 0.000149271376018190 *** df.mm.exp2 0.171311481674401 0.0888246051530596 1.92864895238435 0.0545898925203255 . df.mm.exp3 0.124037584695443 0.0888246051530595 1.39643271683229 0.163476815958681 df.mm.exp4 0.105412223451038 0.0888246051530595 1.18674575889637 0.236139761076724 df.mm.exp5 -0.0225532203883142 0.0888246051530595 -0.253907353142198 0.799717515598751 df.mm.exp6 0.0990026010031717 0.0888246051530595 1.11458532050409 0.265799535399245 df.mm.exp7 0.0238720651303111 0.0888246051530595 0.268755094257673 0.788277866520757 df.mm.exp8 0.157937670699787 0.0888246051530595 1.77808469204715 0.0762655449474958 . df.mm.trans1:exp2 -0.149874622900998 0.0750704929696888 -1.9964518277709 0.0466656970489493 * df.mm.trans2:exp2 -0.170101208645216 0.0750704929696888 -2.26588639445724 0.0240739233937792 * df.mm.trans1:exp3 -0.00344778422090452 0.0750704929696888 -0.0459272889322391 0.963394622993313 df.mm.trans2:exp3 -0.0569115121675516 0.0750704929696888 -0.758107612141708 0.448901120341285 df.mm.trans1:exp4 -0.00449945479670481 0.0750704929696888 -0.0599363960287507 0.952240795485559 df.mm.trans2:exp4 -0.00460494313965582 0.0750704929696888 -0.061341586520754 0.951122487128546 df.mm.trans1:exp5 0.065560210975124 0.0750704929696887 0.87331531180427 0.383095183164273 df.mm.trans2:exp5 0.104889924211501 0.0750704929696888 1.39721906786801 0.163240478863035 df.mm.trans1:exp6 -0.0127892052066954 0.0750704929696888 -0.170362611204103 0.86482426009267 df.mm.trans2:exp6 -0.0432756463453918 0.0750704929696888 -0.576466793189505 0.564673441857202 df.mm.trans1:exp7 0.0364120402000412 0.0750704929696888 0.485037979099768 0.627955465795301 df.mm.trans2:exp7 -0.0289736796356623 0.0750704929696888 -0.385952968863025 0.69976801981037 df.mm.trans1:exp8 0.226458204735983 0.0750704929696888 3.01660740162476 0.00274487743779796 ** df.mm.trans2:exp8 -0.133187531993533 0.0750704929696888 -1.77416620998226 0.0769124761514769 . df.mm.trans1:probe2 -0.113112803427897 0.0411178024025315 -2.75094476889972 0.00625408629548782 ** df.mm.trans1:probe3 -0.0312061095529558 0.0411178024025315 -0.758944003073339 0.448401267631711 df.mm.trans1:probe4 -0.24020975504951 0.0411178024025315 -5.84198913886314 1.18794624000191e-08 *** df.mm.trans1:probe5 0.0588089834645494 0.0411178024025315 1.43025599687518 0.153543366562931 df.mm.trans1:probe6 -0.174053281701816 0.0411178024025315 -4.2330394994821 2.95545191726978e-05 *** df.mm.trans2:probe2 -0.229809035991123 0.0411178024025315 -5.58903984559676 4.6256413743702e-08 *** df.mm.trans2:probe3 -0.117506450752388 0.0411178024025315 -2.85779987952744 0.0045233419429197 ** df.mm.trans2:probe4 -0.191870306002263 0.0411178024025315 -4.66635604996365 4.38502177779907e-06 *** df.mm.trans2:probe5 -0.0567181201927953 0.0411178024025315 -1.37940543703044 0.168658095570966 df.mm.trans2:probe6 0.0352049156831355 0.0411178024025315 0.856196431377569 0.392479986579334 df.mm.trans3:probe2 -0.0993564512314397 0.0411178024025315 -2.41638524984308 0.0161910083963955 * df.mm.trans3:probe3 0.322171441697153 0.0411178024025315 7.83532734904426 5.77262034299204e-14 *** df.mm.trans3:probe4 -0.289978077618585 0.0411178024025315 -7.05237295465799 9.5770385410195e-12 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.90765070339711 0.165023765463640 23.6793209294336 1.89941002821968e-74 *** df.mm.trans1 0.156309892458603 0.137487443144290 1.13690304280777 0.256363305770376 df.mm.trans2 0.154605896912512 0.137487443144290 1.12450921609079 0.261574329111659 df.mm.exp2 0.372904257629557 0.189428814343152 1.96857198796608 0.0497978596271069 * df.mm.exp3 0.202093474291193 0.189428814343152 1.06685709347839 0.286778063295798 df.mm.exp4 0.229179088387627 0.189428814343152 1.2098428065567 0.227162769271123 df.mm.exp5 0.148602085216629 0.189428814343152 0.784474557009238 0.433296907273225 df.mm.exp6 0.231002245381685 0.189428814343152 1.21946730323309 0.223495121170727 df.mm.exp7 0.108774879107531 0.189428814343152 0.574225623935354 0.56618717106428 df.mm.exp8 0.315276103784017 0.189428814343152 1.66435135476746 0.0969449213996708 . df.mm.trans1:exp2 -0.227199159581370 0.160096568410293 -1.41913822287001 0.156756344408648 df.mm.trans2:exp2 -0.177276244766410 0.160096568410293 -1.10730821107976 0.268927682041945 df.mm.trans1:exp3 -0.147012397128239 0.160096568410293 -0.918273255873152 0.359113651520171 df.mm.trans2:exp3 -0.152097941392917 0.160096568410293 -0.950038735390775 0.342753781649001 df.mm.trans1:exp4 -0.126771780597344 0.160096568410293 -0.791845708225647 0.428991608975736 df.mm.trans2:exp4 -0.169484950090479 0.160096568410293 -1.05864199197653 0.290499227743066 df.mm.trans1:exp5 -0.0752024118711801 0.160096568410293 -0.469731566503365 0.638841857415566 df.mm.trans2:exp5 -0.0245154041801694 0.160096568410293 -0.153128854813063 0.878385667968436 df.mm.trans1:exp6 -0.0948657224935373 0.160096568410293 -0.592553128624325 0.553866190539408 df.mm.trans2:exp6 -0.0924682961655147 0.160096568410293 -0.57757825219925 0.563923466913254 df.mm.trans1:exp7 -0.130150181790369 0.160096568410293 -0.812947979352203 0.416805296467049 df.mm.trans2:exp7 0.00463800022756648 0.160096568410293 0.0289700164945465 0.976905158144654 df.mm.trans1:exp8 -0.256893601682507 0.160096568410293 -1.60461654008813 0.109487924413237 df.mm.trans2:exp8 -0.212651009271318 0.160096568410293 -1.32826712891396 0.184962816314748 df.mm.trans1:probe2 0.143623520357443 0.0876885018974864 1.63788315742181 0.102352503092736 df.mm.trans1:probe3 -0.0111453792434838 0.0876885018974864 -0.127101946119612 0.898933331196877 df.mm.trans1:probe4 0.136832205074797 0.0876885018974865 1.56043497281733 0.119568652421516 df.mm.trans1:probe5 0.0162698781738227 0.0876885018974864 0.185541750876794 0.852912542723866 df.mm.trans1:probe6 0.0239970954209341 0.0876885018974865 0.273662964945944 0.784506459342815 df.mm.trans2:probe2 -0.0577943508055123 0.0876885018974865 -0.65908699036822 0.510277035603016 df.mm.trans2:probe3 0.0309765627090897 0.0876885018974864 0.353256835717223 0.724110409198144 df.mm.trans2:probe4 0.0529804443841668 0.0876885018974865 0.604189183732485 0.546112680293394 df.mm.trans2:probe5 -0.112917113613952 0.0876885018974864 -1.28770718133558 0.198706039325674 df.mm.trans2:probe6 0.0325150302299786 0.0876885018974865 0.370801525016254 0.711011626277906 df.mm.trans3:probe2 -0.0663971800609398 0.0876885018974864 -0.757193687019108 0.449447672776596 df.mm.trans3:probe3 -0.0700737809117865 0.0876885018974864 -0.799121656721964 0.424766514636049 df.mm.trans3:probe4 -0.0346988637745108 0.0876885018974864 -0.395705970836132 0.692565125903438