chr10.1927_chr10_129028815_129031938_-_0.R fitVsDatCorrelation=0.895941701587986 cont.fitVsDatCorrelation=0.316016044285169 fstatistic=7596.48004156706,37,347 cont.fstatistic=1657.64940236126,37,347 residuals=-0.502708066305649,-0.0831020364597184,0.00626337227313993,0.084492466922075,0.581126035614511 cont.residuals=-0.670639162427919,-0.230446371443385,-0.062709265090633,0.168020613308581,1.41033835684206 predictedValues: Include Exclude Both chr10.1927_chr10_129028815_129031938_-_0.R.tl.Lung 66.7240872800636 98.2557790515936 69.2550840368854 chr10.1927_chr10_129028815_129031938_-_0.R.tl.cerebhem 69.5280357652996 79.1700781230709 68.1173958880333 chr10.1927_chr10_129028815_129031938_-_0.R.tl.cortex 56.0205695887267 92.5462733251314 87.3267753911697 chr10.1927_chr10_129028815_129031938_-_0.R.tl.heart 65.7079009166995 137.740534531433 230.787138648129 chr10.1927_chr10_129028815_129031938_-_0.R.tl.kidney 64.8076997884881 112.715578044289 69.272772870353 chr10.1927_chr10_129028815_129031938_-_0.R.tl.liver 61.2162848241777 94.3957117555248 60.6216716070923 chr10.1927_chr10_129028815_129031938_-_0.R.tl.stomach 61.9302102889549 84.6300527218787 63.7722877806855 chr10.1927_chr10_129028815_129031938_-_0.R.tl.testicle 64.2580128708616 83.4234878043356 71.0291727158205 diffExp=-31.5316917715300,-9.64204235777123,-36.5257037364046,-72.0326336147335,-47.9078782558005,-33.1794269313471,-22.6998424329239,-19.1654749334740 diffExpScore=0.996346160301256 diffExp1.5=0,0,-1,-1,-1,-1,0,0 diffExp1.5Score=0.8 diffExp1.4=-1,0,-1,-1,-1,-1,0,0 diffExp1.4Score=0.833333333333333 diffExp1.3=-1,0,-1,-1,-1,-1,-1,0 diffExp1.3Score=0.857142857142857 diffExp1.2=-1,0,-1,-1,-1,-1,-1,-1 diffExp1.2Score=0.875 cont.predictedValues: Include Exclude Both Lung 75.482671250511 75.366746825891 85.7659944791823 cerebhem 66.4371195255373 79.0902523866941 73.8838593110162 cortex 76.4856762441662 68.0429523280319 91.9506915094367 heart 63.3118967921894 88.9907643793464 76.0125083903332 kidney 75.9524868006123 82.7367310006226 74.3423986663501 liver 71.2627108638761 78.8931678616795 71.6759256111962 stomach 77.822915106852 79.8931703846249 97.0868395192408 testicle 79.0195453121894 80.910254895227 81.7572421747253 cont.diffExp=0.115924424619990,-12.6531328611568,8.44272391613426,-25.6788675871570,-6.78424420001029,-7.63045699780338,-2.07025527777279,-1.89070958303766 cont.diffExpScore=1.32792713431248 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=0,0,0,-1,0,0,0,0 cont.diffExp1.4Score=0.5 cont.diffExp1.3=0,0,0,-1,0,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,0,-1,0,0,0,0 cont.diffExp1.2Score=0.5 tran.correlation=0.0974631383905864 cont.tran.correlation=-0.495306948654401 tran.covariance=0.000842965838529097 cont.tran.covariance=-0.00301803129139635 tran.mean=80.816893542533 cont.tran.mean=76.2311913723782 weightedLogRatios: wLogRatio Lung -1.70054048981581 cerebhem -0.559299432969483 cortex -2.14686687882586 heart -3.37161356895417 kidney -2.46179624812774 liver -1.87566014477556 stomach -1.33723509764234 testicle -1.12068289926472 cont.weightedLogRatios: wLogRatio Lung 0.00664446704308054 cerebhem -0.74674496964401 cortex 0.500446063368097 heart -1.47020655835729 kidney -0.374125218453368 liver -0.439155209365517 stomach -0.114667949174986 testicle -0.103602503715827 varWeightedLogRatios=0.750723786995619 cont.varWeightedLogRatios=0.340988227676821 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.40323698505222 0.0879121500845067 50.0867852830302 6.93140617104115e-161 *** df.mm.trans1 -0.185202190908625 0.0732428853654959 -2.52860315352721 0.0118944656493155 * df.mm.trans2 0.173041846778556 0.0732428853654959 2.36257550361437 0.0186997015596294 * df.mm.exp2 -0.158247664448118 0.100913309728922 -1.56815453653448 0.117756489949383 df.mm.exp3 -0.466572939541217 0.100913309728922 -4.62350249728749 5.33120730463361e-06 *** df.mm.exp4 -0.881248428587854 0.100913309728922 -8.73272743659983 1.06866745455893e-16 *** df.mm.exp5 0.107896589155348 0.100913309728922 1.06920077683691 0.285722406066402 df.mm.exp6 0.00691291821497627 0.100913309728922 0.0685035327207686 0.945424264636237 df.mm.exp7 -0.141364715180538 0.100913309728922 -1.40085302484161 0.162151655865595 df.mm.exp8 -0.226597875148816 0.100913309728922 -2.24547064958541 0.0253669873250468 * df.mm.trans1:exp2 0.199411711617570 0.085287313076135 2.33811694172564 0.0199487387795452 * df.mm.trans2:exp2 -0.0577279784759357 0.085287313076135 -0.676864780866089 0.498942710009466 df.mm.trans1:exp3 0.291725860550508 0.085287313076135 3.42050710742977 0.000699555596309169 *** df.mm.trans2:exp3 0.406707642255682 0.085287313076135 4.7686769296228 2.73413525606741e-06 *** df.mm.trans1:exp4 0.865901587965116 0.085287313076135 10.1527596161006 2.23395338927303e-21 *** df.mm.trans2:exp4 1.21904609054147 0.085287313076135 14.2934048051584 9.1429353765763e-37 *** df.mm.trans1:exp5 -0.137038185326658 0.085287313076135 -1.60678277206747 0.109011570243744 df.mm.trans2:exp5 0.0293969792250680 0.085287313076135 0.344681737116348 0.730542460070208 df.mm.trans1:exp6 -0.093065688561499 0.085287313076135 -1.09120202295997 0.275941095744254 df.mm.trans2:exp6 -0.0469913412970193 0.085287313076135 -0.550976922617678 0.582004059522066 df.mm.trans1:exp7 0.0668068093488498 0.085287313076135 0.78331473860845 0.433976605252547 df.mm.trans2:exp7 -0.00791991705159451 0.085287313076135 -0.0928616082033736 0.92606709631696 df.mm.trans1:exp8 0.188938288724419 0.085287313076135 2.21531529027953 0.0273872264401559 * df.mm.trans2:exp8 0.062953704329948 0.085287313076135 0.73813679971076 0.460930223345454 df.mm.trans1:probe2 -0.0612848956348294 0.0467137852408045 -1.3119231361559 0.190413315629682 df.mm.trans1:probe3 -0.0791878240756565 0.0467137852408045 -1.69517035854517 0.0909401828863838 . df.mm.trans1:probe4 0.0835487625945168 0.0467137852408045 1.78852478264889 0.0745636470251244 . df.mm.trans1:probe5 -0.082770604633159 0.0467137852408045 -1.77186678849692 0.0772941916124141 . df.mm.trans1:probe6 -0.0349932160171768 0.0467137852408045 -0.749098276596311 0.454305468383701 df.mm.trans2:probe2 -0.0536561993177199 0.0467137852408045 -1.14861596081602 0.251505532876008 df.mm.trans2:probe3 0.073999698455035 0.0467137852408045 1.58410837558067 0.114079970732214 df.mm.trans2:probe4 0.0793187365906702 0.0467137852408045 1.69797279714737 0.090409395111054 . df.mm.trans2:probe5 0.0367293534916648 0.0467137852408045 0.78626369715768 0.432249616368504 df.mm.trans2:probe6 -0.0234392186963958 0.0467137852408045 -0.501762350782948 0.616152904492738 df.mm.trans3:probe2 -0.305921484189888 0.0467137852408045 -6.54884811010061 2.09137600599653e-10 *** df.mm.trans3:probe3 -0.0405579479091563 0.0467137852408045 -0.868222253882543 0.385872733746010 df.mm.trans3:probe4 -0.266640899318567 0.0467137852408045 -5.70797031206233 2.45535225720188e-08 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.14265411586638 0.187780980156383 22.0610953911115 5.01358163914802e-68 *** df.mm.trans1 0.118614495614077 0.156447325997528 0.758175282688761 0.448860666555741 df.mm.trans2 0.161142869414138 0.156447325997528 1.03001357413219 0.303721030739628 df.mm.exp2 0.0697045023496178 0.21555154996785 0.323377411853519 0.7466042285488 df.mm.exp3 -0.158656500267092 0.21555154996785 -0.736048988238572 0.462198148348197 df.mm.exp4 0.111061265932879 0.21555154996785 0.515242251560912 0.606711821224779 df.mm.exp5 0.242443520488333 0.21555154996785 1.12475888261761 0.261468635544861 df.mm.exp6 0.167666236301524 0.21555154996785 0.777847509454383 0.437188934071150 df.mm.exp7 -0.0351262032986375 0.21555154996785 -0.162959641458745 0.87064507207053 df.mm.exp8 0.164634740839974 0.21555154996785 0.763783609371073 0.445515211284515 df.mm.trans1:exp2 -0.197351683117158 0.182174309568655 -1.08331237035803 0.279421960390346 df.mm.trans2:exp2 -0.0214810208957055 0.182174309568655 -0.117914655181443 0.906203505145126 df.mm.trans1:exp3 0.171856874879406 0.182174309568655 0.943365040253603 0.346150559997234 df.mm.trans2:exp3 0.0564295037128036 0.182174309568655 0.309755551407963 0.756932787709325 df.mm.trans1:exp4 -0.286891121487733 0.182174309568655 -1.57481657082726 0.116210043482439 df.mm.trans2:exp4 0.0551051731909623 0.182174309568655 0.302485972481181 0.762462860141353 df.mm.trans1:exp5 -0.236238659431187 0.182174309568655 -1.29677263490414 0.195571063141381 df.mm.trans2:exp5 -0.149146023739449 0.182174309568655 -0.818699541623577 0.413519741180129 df.mm.trans1:exp6 -0.225196145024804 0.182174309568655 -1.23615753262913 0.217236117260451 df.mm.trans2:exp6 -0.121937758778316 0.182174309568655 -0.669346622292874 0.503719495591997 df.mm.trans1:exp7 0.0656590197129926 0.182174309568655 0.360418655453985 0.718753366602341 df.mm.trans2:exp7 0.093450421173875 0.182174309568655 0.512972555763452 0.608296925565264 df.mm.trans1:exp8 -0.118842620008943 0.182174309568655 -0.652356637389399 0.514603034497311 df.mm.trans2:exp8 -0.0936603188752718 0.182174309568655 -0.514124736342007 0.607492037003994 df.mm.trans1:probe2 0.128759291198038 0.0997809787486815 1.29041920426882 0.197764335418970 df.mm.trans1:probe3 0.112723710460092 0.0997809787486814 1.12971141267324 0.259378162602051 df.mm.trans1:probe4 0.154187550471889 0.0997809787486814 1.54525995240277 0.123194877145225 df.mm.trans1:probe5 0.0888318022712599 0.0997809787486814 0.89026789860421 0.373938870120136 df.mm.trans1:probe6 0.141842631298947 0.0997809787486814 1.42153978721943 0.156058005210411 df.mm.trans2:probe2 0.0127449782240158 0.0997809787486814 0.127729537070553 0.898437003600638 df.mm.trans2:probe3 -0.0379263824457278 0.0997809787486815 -0.380096316165159 0.704106462293303 df.mm.trans2:probe4 0.0382068755225268 0.0997809787486815 0.382907403812489 0.702022870711444 df.mm.trans2:probe5 0.108715679394497 0.0997809787486814 1.08954312493085 0.276670513569426 df.mm.trans2:probe6 0.0639505385507978 0.0997809787486815 0.640909112666354 0.52200477544 df.mm.trans3:probe2 0.177229973010444 0.0997809787486815 1.77618996358849 0.0765778009689695 . df.mm.trans3:probe3 0.0493810885186184 0.0997809787486815 0.494894809991739 0.620987579030569 df.mm.trans3:probe4 -0.109766612343142 0.0997809787486815 -1.10007552260648 0.272061794489963