chr1.991_chr1_165124869_165129035_+_2.R fitVsDatCorrelation=0.795538559187257 cont.fitVsDatCorrelation=0.262163574808494 fstatistic=11478.6956160849,43,485 cont.fstatistic=4518.21286551301,43,485 residuals=-0.39896762570148,-0.0813540512275055,0.000533131467650685,0.0765996994356317,0.897080862501462 cont.residuals=-0.544608683952034,-0.152473349481850,-0.00522289631383729,0.138680802184792,1.01843508628100 predictedValues: Include Exclude Both chr1.991_chr1_165124869_165129035_+_2.R.tl.Lung 55.3449638637849 44.7527116332141 63.6195532792748 chr1.991_chr1_165124869_165129035_+_2.R.tl.cerebhem 60.1313048975817 47.1791397919011 57.962927225011 chr1.991_chr1_165124869_165129035_+_2.R.tl.cortex 58.0175648533889 42.8205640618932 63.7497248558193 chr1.991_chr1_165124869_165129035_+_2.R.tl.heart 57.8754069497674 43.2972822407233 59.4062707074385 chr1.991_chr1_165124869_165129035_+_2.R.tl.kidney 55.8129774915884 41.7528081723586 62.0378626926379 chr1.991_chr1_165124869_165129035_+_2.R.tl.liver 55.5961637211702 46.1066589603658 61.7210106325943 chr1.991_chr1_165124869_165129035_+_2.R.tl.stomach 58.5490780282725 43.1348158159302 60.8288779087672 chr1.991_chr1_165124869_165129035_+_2.R.tl.testicle 59.0617942644678 46.7483746863494 63.4413740770742 diffExp=10.5922522305708,12.9521651056807,15.1970007914957,14.5781247090441,14.0601693192298,9.4895047608043,15.4142622123423,12.3134195781184 diffExpScore=0.990530024913213 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=0,0,1,1,1,0,1,0 diffExp1.3Score=0.8 diffExp1.2=1,1,1,1,1,1,1,1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 54.665112282285 58.0543749379011 52.9947945764875 cerebhem 52.3056765344199 55.8422486563895 54.952933660733 cortex 52.1669136639276 54.6212512927394 54.3377516810736 heart 55.4637167009858 55.7912999402781 54.0776399828633 kidney 59.7804680052001 55.7268099216045 57.1901452692031 liver 51.2588175429596 52.7128168743886 53.5149985699097 stomach 56.0239968966889 51.3908757023255 52.6321123915168 testicle 54.7708137698221 55.4698114290322 53.5798966424126 cont.diffExp=-3.38926265561614,-3.53657212196961,-2.45433762881178,-0.327583239292288,4.0536580835956,-1.45399933142898,4.63312119436343,-0.698997659210107 cont.diffExpScore=4.92277505151893 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=0.353356099955887 cont.tran.correlation=0.157593313862228 tran.covariance=0.000477516181097701 cont.tran.covariance=0.000297050655449323 tran.mean=51.0113505895474 cont.tran.mean=54.7528127594343 weightedLogRatios: wLogRatio Lung 0.830056548679549 cerebhem 0.964309023700502 cortex 1.18723441540926 heart 1.13561856220119 kidney 1.12522640529675 liver 0.734503621349397 stomach 1.19681004006723 testicle 0.92626010778806 cont.weightedLogRatios: wLogRatio Lung -0.242500466966235 cerebhem -0.261037118782715 cortex -0.182860892971243 heart -0.0236655195658967 kidney 0.284772515011463 liver -0.110509784094091 stomach 0.343777695285871 testicle -0.0508463628186553 varWeightedLogRatios=0.0303850026059690 cont.varWeightedLogRatios=0.0525211493243333 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.67009918430889 0.0680065639135555 53.9668375095972 3.80925137484860e-207 *** df.mm.trans1 0.358641918047177 0.0591465662553607 6.06361350714375 2.67919585799672e-09 *** df.mm.trans2 0.127398579348529 0.0555271269160609 2.29434848197917 0.0221969211095245 * df.mm.exp2 0.228861965667085 0.0754465086949056 3.03343348321880 0.00254753020565648 ** df.mm.exp3 0.000982553534181382 0.0754465086949056 0.0130231809420722 0.989614653963767 df.mm.exp4 0.0801657815265979 0.0754465086949056 1.06255124210951 0.288514284812521 df.mm.exp5 -0.0357886040707336 0.0754465086949056 -0.474357325339697 0.635458614309809 df.mm.exp6 0.0646303434278176 0.0754465086949056 0.856637961726937 0.392068050932369 df.mm.exp7 0.06431432257832 0.0754465086949056 0.85244928746004 0.394385523546688 df.mm.exp8 0.111430667359483 0.0754465086949056 1.47694928880131 0.140338239222183 df.mm.trans1:exp2 -0.145917047488384 0.0688729244953491 -2.11864166590222 0.0346285374880196 * df.mm.trans2:exp2 -0.176062162367927 0.0616018163923244 -2.85806771096873 0.00444564161436668 ** df.mm.trans1:exp3 0.0461775855536632 0.0688729244953491 0.670475167012569 0.502874063347619 df.mm.trans2:exp3 -0.0451161356394262 0.0616018163923244 -0.732383203639556 0.46428848210668 df.mm.trans1:exp4 -0.0354589055263723 0.0688729244953491 -0.514845358842962 0.606895632788633 df.mm.trans2:exp4 -0.113227952331839 0.0616018163923244 -1.83806191055671 0.066664687841677 . df.mm.trans1:exp5 0.0442093500403659 0.0688729244953491 0.64189738368597 0.521243074478638 df.mm.trans2:exp5 -0.0335967233216565 0.0616018163923244 -0.545385270909684 0.585739292822693 df.mm.trans1:exp6 -0.0601018102833304 0.0688729244953491 -0.87264786160473 0.38328686224158 df.mm.trans2:exp6 -0.0348249959022866 0.0616018163923244 -0.5653241729188 0.572114704036017 df.mm.trans1:exp7 -0.00803464731120122 0.0688729244953491 -0.116659011797064 0.907178562437641 df.mm.trans2:exp7 -0.101135898044388 0.0616018163923244 -1.64176811606141 0.101286293268683 df.mm.trans1:exp8 -0.0464320790492115 0.0688729244953491 -0.67417028374259 0.500524250775869 df.mm.trans2:exp8 -0.0678032163372075 0.0616018163923244 -1.10066910860855 0.271586670291238 df.mm.trans1:probe2 -0.0995161345438285 0.0377232543474528 -2.63805804311653 0.00860617809628927 ** df.mm.trans1:probe3 -0.156082674897057 0.0377232543474528 -4.13757183989074 4.13803668975409e-05 *** df.mm.trans1:probe4 -0.00750268627022129 0.0377232543474528 -0.198887566833902 0.84243404226699 df.mm.trans1:probe5 -0.0722620537038478 0.0377232543474528 -1.91558376799289 0.056005791082823 . df.mm.trans1:probe6 -0.170606216985344 0.0377232543474528 -4.52257420353936 7.68945987202062e-06 *** df.mm.trans1:probe7 0.270834025384533 0.0377232543474528 7.17949790041962 2.64469486515938e-12 *** df.mm.trans1:probe8 0.0540258793603235 0.0377232543474528 1.43216380174187 0.152741105028690 df.mm.trans1:probe9 0.117987438960436 0.0377232543474528 3.12771103663813 0.00186765668849169 ** df.mm.trans1:probe10 -0.183499855951476 0.0377232543474528 -4.86436971374041 1.55456649464485e-06 *** df.mm.trans1:probe11 0.0125196833246618 0.0377232543474528 0.331882377096853 0.740121449297845 df.mm.trans1:probe12 -0.0083843558006587 0.0377232543474528 -0.222259610038784 0.824205353587574 df.mm.trans2:probe2 0.114492708514665 0.0377232543474528 3.03506975989191 0.00253400877520475 ** df.mm.trans2:probe3 -0.0389698205671312 0.0377232543474528 -1.03304503392514 0.302097663981414 df.mm.trans2:probe4 -0.0411873638398389 0.0377232543474528 -1.09182955055997 0.275450099804902 df.mm.trans2:probe5 -0.0194589418394249 0.0377232543474528 -0.515834123434762 0.606205333997139 df.mm.trans2:probe6 0.0216661615643042 0.0377232543474528 0.574344974713645 0.566000662114226 df.mm.trans3:probe2 0.13854089476813 0.0377232543474528 3.67255946404011 0.000266842797261108 *** df.mm.trans3:probe3 -0.0370355236690935 0.0377232543474528 -0.981769052266146 0.326703120706849 df.mm.trans3:probe4 -0.114380639542798 0.0377232543474528 -3.03209894059739 0.00255860721883219 ** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.06616217641864 0.10831425648767 37.5404153457999 1.36385098717341e-145 *** df.mm.trans1 -0.0569206411947141 0.094202911882027 -0.604234413326814 0.545970340554379 df.mm.trans2 0.0257239167755254 0.0884382200879113 0.290868775399988 0.771276024242659 df.mm.exp2 -0.119253518841710 0.120163878655401 -0.992424014405345 0.321485590032716 df.mm.exp3 -0.132759829200925 0.120163878655401 -1.10482310230386 0.269784038042332 df.mm.exp4 -0.0454858774012453 0.120163878655401 -0.378532034004056 0.70520103770506 df.mm.exp5 -0.02765333614986 0.120163878655401 -0.230130189365497 0.818087636868789 df.mm.exp6 -0.170627760447857 0.120163878655401 -1.41995882920170 0.156262127227625 df.mm.exp7 -0.09049776105665 0.120163878655401 -0.75311950703734 0.451743513194955 df.mm.exp8 -0.0545896258980817 0.120163878655401 -0.454293141241144 0.649821092738113 df.mm.trans1:exp2 0.075132717074591 0.109694111561461 0.684929354958991 0.493715696118099 df.mm.trans2:exp2 0.0804041758214174 0.0981133960731488 0.819502525032074 0.412902286081427 df.mm.trans1:exp3 0.0859825803823912 0.109694111561461 0.783839525736217 0.433516905418741 df.mm.trans2:exp3 0.0718027837438267 0.0981133960731488 0.731834658850193 0.46462295842709 df.mm.trans1:exp4 0.0599892263372829 0.109694111561461 0.546877361814188 0.584714510434278 df.mm.trans2:exp4 0.00572374928562492 0.0981133960731488 0.0583381017751904 0.953503346188458 df.mm.trans1:exp5 0.11710661687605 0.109694111561461 1.06757432289732 0.286243667843937 df.mm.trans2:exp5 -0.0132653758774217 0.0981133960731488 -0.135204532799289 0.892506257004315 df.mm.trans1:exp6 0.106289708395063 0.109694111561461 0.968964576877122 0.333045814234628 df.mm.trans2:exp6 0.0741063205752774 0.0981133960731488 0.75531296990298 0.450427858885586 df.mm.trans1:exp7 0.115052171126138 0.109694111561461 1.04884546206179 0.294771616749942 df.mm.trans2:exp7 -0.0314216680570250 0.0981133960731488 -0.32025869366094 0.74891016041312 df.mm.trans1:exp8 0.0565213776403216 0.109694111561461 0.515263552762839 0.606603630765288 df.mm.trans2:exp8 0.00904849014868601 0.0981133960731488 0.0922248185348704 0.926557500401304 df.mm.trans1:probe2 -0.00471856632161983 0.0600819393277003 -0.0785355195657669 0.937434467824651 df.mm.trans1:probe3 0.0132851816114700 0.0600819393277003 0.221117722898552 0.825093830213692 df.mm.trans1:probe4 -0.0990676221445114 0.0600819393277003 -1.64887524026437 0.099820739494499 . df.mm.trans1:probe5 -0.0183690518028825 0.0600819393277003 -0.305733336979913 0.759938869729207 df.mm.trans1:probe6 0.0541443510120283 0.0600819393277003 0.901175155427539 0.367942476137397 df.mm.trans1:probe7 -0.0106846740612768 0.0600819393277003 -0.177835039628134 0.85892677813441 df.mm.trans1:probe8 -0.00201542291689973 0.0600819393277003 -0.0335445716208853 0.97325412322231 df.mm.trans1:probe9 0.0126351156669349 0.0600819393277003 0.210298066412606 0.83352336218888 df.mm.trans1:probe10 0.0182028749211356 0.0600819393277003 0.302967499465239 0.762044533463678 df.mm.trans1:probe11 -0.0621213027583939 0.0600819393277003 -1.03394303601903 0.301678065649047 df.mm.trans1:probe12 -0.0295441685295942 0.0600819393277003 -0.491731273327476 0.623131798311269 df.mm.trans2:probe2 -0.0627049534186443 0.0600819393277003 -1.04365728071189 0.297163892350602 df.mm.trans2:probe3 -0.0610259102726461 0.0600819393277003 -1.01571139273313 0.310273261669162 df.mm.trans2:probe4 -0.0402853188447684 0.0600819393277003 -0.670506300155247 0.502854240641198 df.mm.trans2:probe5 -0.07781335510455 0.0600819393277003 -1.29512056327174 0.195894792293142 df.mm.trans2:probe6 -0.063230691320114 0.0600819393277003 -1.05240762910864 0.293136613673716 df.mm.trans3:probe2 -0.0927028447427461 0.0600819393277003 -1.54294028754838 0.123497461525547 df.mm.trans3:probe3 -0.0511440660360392 0.0600819393277003 -0.851238601954708 0.395056906538422 df.mm.trans3:probe4 -0.115240124456255 0.0600819393277003 -1.91804934637195 0.055691621541009 .