chr12.5479_chr12_73568939_73570229_-_1.R fitVsDatCorrelation=0.701141173713492 cont.fitVsDatCorrelation=0.300001235061405 fstatistic=7711.41901233658,37,347 cont.fstatistic=4304.09934871564,37,347 residuals=-0.529654263566816,-0.0906896381550577,-0.0027997299211755,0.071312454722544,0.721342274553014 cont.residuals=-0.41918866536981,-0.124406110457703,-0.0216111296448658,0.0915663728026682,0.808946486280963 predictedValues: Include Exclude Both chr12.5479_chr12_73568939_73570229_-_1.R.tl.Lung 50.6537828640663 57.5211009076901 63.8988793721012 chr12.5479_chr12_73568939_73570229_-_1.R.tl.cerebhem 62.4008298657867 75.7757842754823 59.0065249998057 chr12.5479_chr12_73568939_73570229_-_1.R.tl.cortex 49.9951804002209 56.8273592908911 58.5216974920232 chr12.5479_chr12_73568939_73570229_-_1.R.tl.heart 49.7431284568564 61.1139568100731 59.56334347172 chr12.5479_chr12_73568939_73570229_-_1.R.tl.kidney 49.6616046484452 55.614175034463 66.1022199318026 chr12.5479_chr12_73568939_73570229_-_1.R.tl.liver 49.803843860753 57.3958220557772 62.9950242753704 chr12.5479_chr12_73568939_73570229_-_1.R.tl.stomach 51.6671058327977 57.5307599569649 73.2190896849826 chr12.5479_chr12_73568939_73570229_-_1.R.tl.testicle 50.2572460353223 60.3445741474374 66.4446884753603 diffExp=-6.86731804362384,-13.3749544096956,-6.83217889067023,-11.3708283532167,-5.9525703860178,-7.59197819502418,-5.86365412416725,-10.0873281121151 diffExpScore=0.985494803549064 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,-1,0,0,0,-1 diffExp1.2Score=0.75 cont.predictedValues: Include Exclude Both Lung 53.5750034068254 56.1266113388382 61.9339467051744 cerebhem 57.9764741631399 49.6834445623392 62.2735679645224 cortex 56.5007209197256 57.3995411355696 62.9200975545488 heart 54.5209640238228 58.7375643938573 56.5772361920858 kidney 52.5133028430417 57.4657232886213 58.2792804996797 liver 53.1533934450527 58.9734778023258 57.4757291855319 stomach 57.6796028172179 55.7546635135433 56.2948690922612 testicle 54.7617819479883 57.2724386539337 56.3926448537769 cont.diffExp=-2.55160793201279,8.2930296008007,-0.898820215843955,-4.21660037003448,-4.95242044557961,-5.82008435727308,1.92493930367464,-2.51065670594543 cont.diffExpScore=2.65662900541061 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=0.947161063097384 cont.tran.correlation=-0.668780998877966 tran.covariance=0.00720894132034373 cont.tran.covariance=-0.00134794640772470 tran.mean=56.0191409026892 cont.tran.mean=55.7559192659902 weightedLogRatios: wLogRatio Lung -0.507100205462397 cerebhem -0.821598638337305 cortex -0.509287369047184 heart -0.825490535324609 kidney -0.448503596572699 liver -0.564542439956596 stomach -0.429840065097403 testicle -0.733240640682269 cont.weightedLogRatios: wLogRatio Lung -0.186312025760775 cerebhem 0.614815492539459 cortex -0.0637968141990457 heart -0.300645991220223 kidney -0.361040744771097 liver -0.418235120601574 stomach 0.137057718762308 testicle -0.180446740008924 varWeightedLogRatios=0.0267901296153249 cont.varWeightedLogRatios=0.113121448538179 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.00455907272045 0.0806464732336435 49.6557246975788 9.64655152099327e-160 *** df.mm.trans1 -0.086072188259747 0.0671895794666074 -1.28103478162896 0.201036923273388 df.mm.trans2 0.0871682914385873 0.0671895794666074 1.29734837054471 0.195373201478588 df.mm.exp2 0.563845373315856 0.0925731258324229 6.09081056997618 2.98216569331831e-09 *** df.mm.exp3 0.0626829703881385 0.0925731258324228 0.677118438256132 0.498781967284785 df.mm.exp4 0.112708312908898 0.0925731258324228 1.21750574905425 0.224239146292115 df.mm.exp5 -0.087396066099809 0.0925731258324228 -0.944075997368984 0.345787675382949 df.mm.exp6 -0.00485600535454673 0.0925731258324228 -0.0524558862075927 0.958195629074274 df.mm.exp7 -0.116179029311425 0.0925731258324228 -1.25499736847748 0.210324270515612 df.mm.exp8 0.000991980976694037 0.0925731258324228 0.0107156474168295 0.991456471948012 df.mm.trans1:exp2 -0.355280713162179 0.0782385711707905 -4.54099183875203 7.73430150350552e-06 *** df.mm.trans2:exp2 -0.288218453162788 0.0782385711707905 -3.68384096040842 0.000266408183677128 *** df.mm.trans1:exp3 -0.0757702758660505 0.0782385711707905 -0.968451682235456 0.333493353237062 df.mm.trans2:exp3 -0.0748169357670335 0.0782385711707905 -0.956266642494177 0.339603270820580 df.mm.trans1:exp4 -0.130849894578635 0.0782385711707905 -1.67244739545405 0.0953374736950134 . df.mm.trans2:exp4 -0.0521198999128378 0.0782385711707905 -0.666166305607281 0.505747435423395 df.mm.trans1:exp5 0.0676142440885481 0.0782385711707905 0.86420601854998 0.388071715844136 df.mm.trans2:exp5 0.05368232873288 0.0782385711707905 0.686136363810817 0.493085312584378 df.mm.trans1:exp6 -0.0120657418991022 0.0782385711707905 -0.154217308912293 0.877528048477986 df.mm.trans2:exp6 0.00267566675319348 0.0782385711707905 0.0341988192416327 0.972738271482565 df.mm.trans1:exp7 0.135986443251601 0.0782385711707905 1.73809977887697 0.0830803196635634 . df.mm.trans2:exp7 0.116346937057113 0.0782385711707905 1.48707901123519 0.137902018396766 df.mm.trans1:exp8 -0.00885115898984894 0.0782385711707905 -0.113130376199322 0.909992613570284 df.mm.trans2:exp8 0.046927203310017 0.0782385711707905 0.599796271938268 0.549033472787198 df.mm.trans1:probe2 0.110466636393901 0.0428530302972153 2.57780221439973 0.0103550325929533 * df.mm.trans1:probe3 0.0287100823043367 0.0428530302972153 0.669966210212265 0.503324915579156 df.mm.trans1:probe4 0.00360786082219349 0.0428530302972153 0.0841914981780864 0.932952727676496 df.mm.trans1:probe5 -0.0517259245611952 0.0428530302972153 -1.20705406834570 0.228233494391929 df.mm.trans1:probe6 -0.0257883569216180 0.0428530302972153 -0.601786075401389 0.547709518532485 df.mm.trans2:probe2 -0.131175253620793 0.0428530302972153 -3.06104965532196 0.00237761361445380 ** df.mm.trans2:probe3 -0.0138199944873991 0.0428530302972153 -0.322497484811410 0.747270062583928 df.mm.trans2:probe4 -0.165137479053497 0.0428530302972153 -3.8535776328571 0.000138663040256508 *** df.mm.trans2:probe5 0.0073281158585763 0.0428530302972153 0.171005779702177 0.86431889203158 df.mm.trans2:probe6 -0.0929505023563881 0.0428530302972153 -2.16905319674507 0.0307572449063382 * df.mm.trans3:probe2 0.272568174773719 0.0428530302972153 6.36053443323075 6.34589595642263e-10 *** df.mm.trans3:probe3 0.263679809113265 0.0428530302972153 6.15311933098927 2.09525674617464e-09 *** df.mm.trans3:probe4 0.0703386085834298 0.0428530302972153 1.64139170778783 0.101622124226547 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.82412831675201 0.107895337515828 35.4429431780683 2.32154201591952e-117 *** df.mm.trans1 0.142595438484968 0.089891622825137 1.58630397364562 0.113581183971095 df.mm.trans2 0.178291924942713 0.0898916228251369 1.98340979213979 0.0481095461376433 * df.mm.exp2 -0.0484522039533963 0.123851772508977 -0.391211227517026 0.695881212811616 df.mm.exp3 0.0597998591920889 0.123851772508977 0.48283410064038 0.629518004521209 df.mm.exp4 0.153433813512653 0.123851772508977 1.23885036446718 0.216238258359644 df.mm.exp5 0.0643843236329699 0.123851772508977 0.519849836047386 0.603499704328072 df.mm.exp6 0.116282786790845 0.123851772508977 0.938886738842728 0.348441959038162 df.mm.exp7 0.162637049410093 0.123851772508977 1.31315883588428 0.18999712059928 df.mm.exp8 0.135849089518202 0.123851772508977 1.09686835130563 0.273459550649452 df.mm.trans1:exp2 0.127406909388263 0.104673852491630 1.21717990076318 0.224362913846322 df.mm.trans2:exp2 -0.07348608130791 0.104673852491630 -0.702048119551022 0.483119781186909 df.mm.trans1:exp3 -0.00662906642940792 0.104673852491630 -0.0633306816517332 0.949539649245007 df.mm.trans2:exp3 -0.0373736055260579 0.104673852491630 -0.357048151342727 0.721272794369575 df.mm.trans1:exp4 -0.135931129768425 0.104673852491630 -1.29861590581367 0.194938110299684 df.mm.trans2:exp4 -0.107964408259106 0.104673852491630 -1.03143627266168 0.303054634128450 df.mm.trans1:exp5 -0.0844004035955436 0.104673852491630 -0.806317925503815 0.420611808425722 df.mm.trans2:exp5 -0.0408057257712059 0.104673852491630 -0.389836858010636 0.696896352004148 df.mm.trans1:exp6 -0.124183442423154 0.104673852491630 -1.18638455991751 0.236282119563507 df.mm.trans2:exp6 -0.0668050282013112 0.104673852491630 -0.638220783998114 0.523750932545828 df.mm.trans1:exp7 -0.0888160473771433 0.104673852491630 -0.848502708775766 0.396743000377194 df.mm.trans2:exp7 -0.169286047574923 0.104673852491630 -1.61727158736667 0.106728320569388 df.mm.trans1:exp8 -0.113939153525226 0.104673852491630 -1.08851590739279 0.277122842496203 df.mm.trans2:exp8 -0.115639637793149 0.104673852491630 -1.10476145704483 0.270028405202969 df.mm.trans1:probe2 0.0620022920533457 0.0573322301906342 1.08145613465904 0.280245257910529 df.mm.trans1:probe3 0.0157220706537238 0.0573322301906342 0.274227438936993 0.78407301845373 df.mm.trans1:probe4 -0.0296894145553594 0.0573322301906342 -0.517848589818323 0.604893903732372 df.mm.trans1:probe5 0.0954117098678386 0.0573322301906342 1.66418975069672 0.0969772276928923 . df.mm.trans1:probe6 0.000141839105424826 0.0573322301906342 0.00247398548692768 0.998027468839516 df.mm.trans2:probe2 0.0516271144788905 0.0573322301906342 0.900490253165213 0.368483933855490 df.mm.trans2:probe3 0.0295367120474833 0.0573322301906342 0.515185122735874 0.606751695956008 df.mm.trans2:probe4 0.0792387791133078 0.0573322301906342 1.38209832148222 0.167830530054063 df.mm.trans2:probe5 0.0645313363192839 0.0573322301906342 1.12556822061015 0.261126215105122 df.mm.trans2:probe6 0.0269641958307807 0.0573322301906342 0.470314790496071 0.63842559514484 df.mm.trans3:probe2 -0.0565328063560187 0.0573322301906342 -0.986056292735215 0.324792531167517 df.mm.trans3:probe3 -0.0039686313041544 0.0573322301906342 -0.0692216453286116 0.94485306617714 df.mm.trans3:probe4 -0.0152875174346458 0.0573322301906342 -0.266647876487861 0.789898674707061