chr14.7566_chr14_47809801_47812127_+_1.R fitVsDatCorrelation=0.803549122890156 cont.fitVsDatCorrelation=0.333354816944892 fstatistic=6548.44532575891,37,347 cont.fstatistic=2604.59527170106,37,347 residuals=-0.545661106449326,-0.080287808505529,-0.00322745900895307,0.068173788740557,1.06552793322476 cont.residuals=-0.536684144593355,-0.162118279044031,-0.0249122307556930,0.116611023162449,1.57907894221070 predictedValues: Include Exclude Both chr14.7566_chr14_47809801_47812127_+_1.R.tl.Lung 70.0261551918556 49.9335369262199 55.0901632429576 chr14.7566_chr14_47809801_47812127_+_1.R.tl.cerebhem 101.346596311480 66.6046091526213 63.994544859539 chr14.7566_chr14_47809801_47812127_+_1.R.tl.cortex 63.8088316397005 45.3949922649863 66.5173397057837 chr14.7566_chr14_47809801_47812127_+_1.R.tl.heart 56.6171494685245 48.1723744601373 57.0721335582069 chr14.7566_chr14_47809801_47812127_+_1.R.tl.kidney 64.3940827478659 48.1809710305929 53.0650183759775 chr14.7566_chr14_47809801_47812127_+_1.R.tl.liver 63.4068003135804 51.8479457591404 53.3890499342478 chr14.7566_chr14_47809801_47812127_+_1.R.tl.stomach 65.0874597446129 47.0206947638773 53.9991374904131 chr14.7566_chr14_47809801_47812127_+_1.R.tl.testicle 68.3068369542624 53.4673756707352 56.4390506269092 diffExp=20.0926182656357,34.7419871588583,18.4138393747142,8.44477500838719,16.2131117172729,11.5588545544400,18.0667649807356,14.8394612835272 diffExpScore=0.99302510881595 diffExp1.5=0,1,0,0,0,0,0,0 diffExp1.5Score=0.5 diffExp1.4=1,1,1,0,0,0,0,0 diffExp1.4Score=0.75 diffExp1.3=1,1,1,0,1,0,1,0 diffExp1.3Score=0.833333333333333 diffExp1.2=1,1,1,0,1,1,1,1 diffExp1.2Score=0.875 cont.predictedValues: Include Exclude Both Lung 59.0256286764632 56.2427360431426 60.6737523631683 cerebhem 54.2996672127852 52.37892037489 63.004304564602 cortex 53.2552582384856 59.7620378759632 50.580266016132 heart 57.1518846825927 58.3533382352546 67.2120090769855 kidney 56.7457834963623 53.7860865423069 58.2959067371786 liver 52.3750137010208 58.6493129621528 50.618932660351 stomach 56.4604875358173 53.2748079171805 66.3113861117566 testicle 63.6658680306269 57.8947056581424 57.3575710121294 cont.diffExp=2.7828926333206,1.92074683789526,-6.50677963747763,-1.20145355266188,2.95969695405536,-6.27429926113199,3.18567961863683,5.77116237248446 cont.diffExpScore=8.41277880285581 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=0.924560032286009 cont.tran.correlation=-0.00235775756515949 tran.covariance=0.0184966302149930 cont.tran.covariance=-3.06789675661983e-05 tran.mean=60.226025775012 cont.tran.mean=56.4575960739492 weightedLogRatios: wLogRatio Lung 1.37968379423047 cerebhem 1.85063427629001 cortex 1.35707209347889 heart 0.638924852164118 kidney 1.1660294861298 liver 0.814873310798484 stomach 1.30485517474326 testicle 1.00462399603452 cont.weightedLogRatios: wLogRatio Lung 0.195778789376810 cerebhem 0.143209559156618 cortex -0.464869716466331 heart -0.0843842170935947 kidney 0.214898121462932 liver -0.454282388479345 stomach 0.232571424631692 testicle 0.390176062099082 varWeightedLogRatios=0.141837674363317 cont.varWeightedLogRatios=0.105314004396430 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.46060142864495 0.0875869485523608 50.9276953058632 4.27873896466994e-163 *** df.mm.trans1 -0.149647026780442 0.0729719478612175 -2.05074732368458 0.0410422322128016 * df.mm.trans2 -0.512349785287704 0.0729719478612175 -7.02118828268258 1.16478379622577e-11 *** df.mm.exp2 0.507931724441742 0.100540014764503 5.05203550677289 7.08163775527553e-07 *** df.mm.exp3 -0.376759759847986 0.100540014764503 -3.74736129421183 0.000209237602773955 *** df.mm.exp4 -0.283808825433656 0.100540014764503 -2.82284447737974 0.00503447635770121 ** df.mm.exp5 -0.082122529079425 0.100540014764503 -0.816814372583712 0.414594935630628 df.mm.exp6 -0.0303097392715817 0.100540014764503 -0.301469413373140 0.763237149981047 df.mm.exp7 -0.113238857978774 0.100540014764503 -1.12630635915476 0.260814189878488 df.mm.exp8 0.0193297219457235 0.100540014764503 0.192258992511587 0.847651802220823 df.mm.trans1:exp2 -0.138254253474683 0.084971821248688 -1.62706002346417 0.104632025091416 df.mm.trans2:exp2 -0.219850802495062 0.084971821248688 -2.58733776991343 0.0100781528801520 * df.mm.trans1:exp3 0.283782549713994 0.084971821248688 3.33972540006462 0.000929747455567257 *** df.mm.trans2:exp3 0.281468696577356 0.084971821248688 3.31249457103642 0.00102204696553722 ** df.mm.trans1:exp4 0.071251941033717 0.084971821248688 0.838536116875538 0.402306922335718 df.mm.trans2:exp4 0.24790167849904 0.084971821248688 2.917457515398 0.00375890105013748 ** df.mm.trans1:exp5 -0.00172454268802763 0.0849718212486879 -0.0202954657518801 0.983819337773682 df.mm.trans2:exp5 0.0463938205879098 0.084971821248688 0.545990657916211 0.585423199928266 df.mm.trans1:exp6 -0.0689879624298265 0.084971821248688 -0.811892241639952 0.417410057459229 df.mm.trans2:exp6 0.067932194544193 0.084971821248688 0.799467323942311 0.424566397505375 df.mm.trans1:exp7 0.0401019401273589 0.084971821248688 0.471943987289529 0.637263401223347 df.mm.trans2:exp7 0.0531338172032424 0.084971821248688 0.625311031615235 0.53217794970736 df.mm.trans1:exp8 -0.0441886764186342 0.084971821248688 -0.520039182040205 0.603367868652075 df.mm.trans2:exp8 0.0490490857044371 0.084971821248688 0.577239430479954 0.564152041282497 df.mm.trans1:probe2 0.0567437594676761 0.0465409832502032 1.21922132935231 0.223588322648196 df.mm.trans1:probe3 -0.0930900616842848 0.0465409832502032 -2.00017393667501 0.0462604128953147 * df.mm.trans1:probe4 -0.294692692524105 0.0465409832502032 -6.33189657682659 7.49693170979438e-10 *** df.mm.trans1:probe5 -0.131345103543015 0.0465409832502032 -2.82213856198325 0.00504531850383755 ** df.mm.trans1:probe6 -0.158471741769734 0.0465409832502032 -3.40499342091236 0.000739151472475322 *** df.mm.trans2:probe2 -0.0638043980319273 0.0465409832502032 -1.3709293095274 0.171283018619724 df.mm.trans2:probe3 0.0666552864411286 0.0465409832502032 1.43218474957419 0.152991122813417 df.mm.trans2:probe4 -0.0891637084251717 0.0465409832502032 -1.91581058667862 0.0562107120118649 . df.mm.trans2:probe5 -0.120517623889889 0.0465409832502032 -2.58949458033555 0.0100164522578712 * df.mm.trans2:probe6 -0.168757392658418 0.0465409832502032 -3.62599543183655 0.000330987086749479 *** df.mm.trans3:probe2 0.208732575833018 0.0465409832502032 4.48491976868811 9.92870400757997e-06 *** df.mm.trans3:probe3 0.425447700505085 0.0465409832502032 9.14135608648165 5.29663271654132e-18 *** df.mm.trans3:probe4 0.207285956095191 0.0465409832502032 4.45383706186067 1.13907321822823e-05 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.9514427444357 0.138729449235626 28.4830853593627 7.64476556188486e-93 *** df.mm.trans1 0.123989807003355 0.115580669309259 1.07275557188197 0.284126272314473 df.mm.trans2 0.0757806251539723 0.115580669309259 0.655651378442932 0.512482918826747 df.mm.exp2 -0.192318165655260 0.159245882005845 -1.20768062089167 0.227992618097057 df.mm.exp3 0.139768245794732 0.159245882005845 0.877688289544603 0.380720177314958 df.mm.exp4 -0.0977604437915471 0.159245882005845 -0.613896212323777 0.539686153095867 df.mm.exp5 -0.0440731481943263 0.159245882005845 -0.276761619447771 0.782127935869315 df.mm.exp6 0.103542390221358 0.159245882005845 0.650204507125389 0.515990365496692 df.mm.exp7 -0.187494429223032 0.159245882005845 -1.17738949893945 0.239846998177560 df.mm.exp8 0.160832246356551 0.159245882005845 1.00996172918712 0.313217348548988 df.mm.trans1:exp2 0.108864529963398 0.134587334725235 0.808876482959178 0.419140440899373 df.mm.trans2:exp2 0.121145497387999 0.134587334725235 0.900125540306763 0.368677695236789 df.mm.trans1:exp3 -0.242643433752632 0.134587334725235 -1.80286974437823 0.0722761420311337 . df.mm.trans2:exp3 -0.0790745002830244 0.134587334725235 -0.587532998141749 0.557227914356168 df.mm.trans1:exp4 0.0655010773767696 0.134587334725235 0.486680841926861 0.626791772450024 df.mm.trans2:exp4 0.134600115697031 0.134587334725235 1.00009496414965 0.317961438433044 df.mm.trans1:exp5 0.00468276823692699 0.134587334725235 0.0347935282802578 0.97226438692542 df.mm.trans2:exp5 -0.000588928274510657 0.134587334725235 -0.00437580754320587 0.996511136385634 df.mm.trans1:exp6 -0.223084484319405 0.134587334725235 -1.65754440991673 0.098313203376644 . df.mm.trans2:exp6 -0.0616434251256076 0.134587334725235 -0.458018024143616 0.647226173354525 df.mm.trans1:exp7 0.143063753141948 0.134587334725235 1.06298080301552 0.288529845825665 df.mm.trans2:exp7 0.133281105970007 0.134587334725235 0.990294564062103 0.322720190050707 df.mm.trans1:exp8 -0.08515538501326 0.134587334725235 -0.632714699247948 0.527336681878191 df.mm.trans2:exp8 -0.131883201103590 0.134587334725235 -0.979907963649283 0.327814240303989 df.mm.trans1:probe2 0.0654041424376469 0.0737165191835096 0.88723861574134 0.375564970599455 df.mm.trans1:probe3 0.0758590016552037 0.0737165191835096 1.02906380408929 0.304166449974858 df.mm.trans1:probe4 -0.0164130254075915 0.0737165191835096 -0.222650575330789 0.823938467382197 df.mm.trans1:probe5 -0.00287537146892698 0.0737165191835096 -0.0390057954550058 0.968908199221962 df.mm.trans1:probe6 -0.0965829222570425 0.0737165191835096 -1.31019374390982 0.190996922420933 df.mm.trans2:probe2 0.0809210219431988 0.0737165191835096 1.09773254135555 0.273082433114104 df.mm.trans2:probe3 0.00280203102954188 0.0737165191835096 0.0380108971581596 0.969700851853496 df.mm.trans2:probe4 0.00934453334958137 0.0737165191835096 0.126763084490182 0.899201334973966 df.mm.trans2:probe5 -0.0125510869213919 0.0737165191835096 -0.170261524288027 0.864903693942781 df.mm.trans2:probe6 -0.0559812379493609 0.0737165191835096 -0.75941238910103 0.448121484579808 df.mm.trans3:probe2 -0.0162389831686411 0.0737165191835096 -0.220289608740421 0.825775158477116 df.mm.trans3:probe3 -0.0550192385694974 0.0737165191835096 -0.746362405318308 0.455953872583363 df.mm.trans3:probe4 -0.111549729499944 0.0737165191835096 -1.51322567499766 0.131132582612837