chr15.8728_chr15_98717884_98718452_-_0.R fitVsDatCorrelation=0.927483614987482 cont.fitVsDatCorrelation=0.328044669706507 fstatistic=8918.64631882501,37,347 cont.fstatistic=1389.01428757991,37,347 residuals=-0.478074432314179,-0.0964267368740971,-0.00322837205785803,0.0860396336328821,0.574594500963156 cont.residuals=-0.725869368909575,-0.256282049258630,-0.0562993563130804,0.226109196875749,1.16443791261517 predictedValues: Include Exclude Both chr15.8728_chr15_98717884_98718452_-_0.R.tl.Lung 121.091830142774 73.1743956657094 181.926184915550 chr15.8728_chr15_98717884_98718452_-_0.R.tl.cerebhem 71.7930532135756 49.3275960025513 93.6546523946101 chr15.8728_chr15_98717884_98718452_-_0.R.tl.cortex 84.653967189676 54.1861651986476 92.0281047512742 chr15.8728_chr15_98717884_98718452_-_0.R.tl.heart 102.622496028975 59.6468166858212 122.740716166963 chr15.8728_chr15_98717884_98718452_-_0.R.tl.kidney 99.5812426453943 61.3998897872127 110.703653641074 chr15.8728_chr15_98717884_98718452_-_0.R.tl.liver 90.3951121902514 58.7898893138865 107.017510102468 chr15.8728_chr15_98717884_98718452_-_0.R.tl.stomach 100.028089782216 53.7657346713316 99.5128548753468 chr15.8728_chr15_98717884_98718452_-_0.R.tl.testicle 85.407164047488 54.1860297333943 108.072738480360 diffExp=47.9174344770644,22.4654572110243,30.4678019910284,42.9756793431537,38.1813528581816,31.6052228763648,46.2623551108848,31.2211343140937 diffExpScore=0.99657647314625 diffExp1.5=1,0,1,1,1,1,1,1 diffExp1.5Score=0.875 diffExp1.4=1,1,1,1,1,1,1,1 diffExp1.4Score=0.888888888888889 diffExp1.3=1,1,1,1,1,1,1,1 diffExp1.3Score=0.888888888888889 diffExp1.2=1,1,1,1,1,1,1,1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 82.6144739477488 80.2946828156098 67.766301896598 cerebhem 69.7018210846864 82.9456401431544 77.535499073829 cortex 88.1129017084664 76.4786364983423 93.6130976185832 heart 82.2659748257004 75.8068022067782 78.3333654146079 kidney 61.2120525477151 82.7696218381021 80.7294892679947 liver 73.8506388749974 80.5322838993839 65.3913874991297 stomach 64.6557234426595 74.8144440116863 88.0310248800636 testicle 75.9749513545206 91.2198510613967 93.6327079967164 cont.diffExp=2.31979113213903,-13.2438190584681,11.6342652101240,6.45917261892211,-21.5575692903870,-6.68164502438647,-10.1587205690268,-15.2448997068761 cont.diffExpScore=1.83892110552689 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,-1,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,0,0,-1,0,0,-1 cont.diffExp1.2Score=0.666666666666667 tran.correlation=0.899231354685445 cont.tran.correlation=-0.182690226999134 tran.covariance=0.016627504345374 cont.tran.covariance=-0.00135124837807036 tran.mean=76.2530920186816 cont.tran.mean=77.7031562663093 weightedLogRatios: wLogRatio Lung 2.2891804797327 cerebhem 1.53354322970832 cortex 1.88072941047499 heart 2.36567123962460 kidney 2.10795556160261 liver 1.84524933548603 stomach 2.66642619138411 testicle 1.92009554816082 cont.weightedLogRatios: wLogRatio Lung 0.125316975385385 cerebhem -0.7534523004805 cortex 0.62417980493111 heart 0.357257187950478 kidney -1.28688413889953 liver -0.376366034373528 stomach -0.619059849993461 testicle -0.808616407499114 varWeightedLogRatios=0.126988788130818 cont.varWeightedLogRatios=0.428374563416796 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.29857989552029 0.0811886208130575 52.9455957309347 2.76239261596620e-168 *** df.mm.trans1 0.681399955363211 0.0676412628001629 10.0737320262089 4.16594871742135e-21 *** df.mm.trans2 -0.0503172050383343 0.0676412628001629 -0.743883288917739 0.457450491831341 df.mm.exp2 -0.253136436554926 0.093195450579885 -2.71618877294813 0.0069345156063654 ** df.mm.exp3 0.0231098467515918 0.093195450579885 0.247971833472521 0.804302873594271 df.mm.exp4 0.0236300861233181 0.093195450579885 0.253554073469101 0.799990241916179 df.mm.exp5 0.125731285172060 0.093195450579885 1.34911397916667 0.17818001932273 df.mm.exp6 0.0193738891023598 0.093195450579885 0.207884494165871 0.83544111186245 df.mm.exp7 0.104006845132196 0.093195450579885 1.11600775021785 0.265191039774495 df.mm.exp8 -0.128745129151300 0.093195450579885 -1.38145293949668 0.168028586448528 df.mm.trans1:exp2 -0.269625028528928 0.078764531578931 -3.42317821389864 0.000692941184551915 *** df.mm.trans2:exp2 -0.141225456147999 0.078764531578931 -1.79300826548401 0.0738423959690622 . df.mm.trans1:exp3 -0.381087058031293 0.078764531578931 -4.8383079336846 1.97318423712824e-06 *** df.mm.trans2:exp3 -0.3235297993168 0.078764531578931 -4.10755695274575 4.99226471792698e-05 *** df.mm.trans1:exp4 -0.189122102436048 0.078764531578931 -2.40110743560414 0.0168711878498131 * df.mm.trans2:exp4 -0.228034879334877 0.078764531578931 -2.8951467718228 0.00402979332548147 ** df.mm.trans1:exp5 -0.321306649727912 0.078764531578931 -4.07933169012662 5.60712155576059e-05 *** df.mm.trans2:exp5 -0.301168818807412 0.078764531578931 -3.82366038075916 0.000155847363092034 *** df.mm.trans1:exp6 -0.311732876415107 0.078764531578931 -3.9577823947663 9.1774462170996e-05 *** df.mm.trans2:exp6 -0.238249573217359 0.078764531578931 -3.02483323954776 0.00267320208890008 ** df.mm.trans1:exp7 -0.295104985323553 0.078764531578931 -3.74667352687579 0.000209789352938859 *** df.mm.trans2:exp7 -0.412216056682869 0.078764531578931 -5.23352387704842 2.88560959702967e-07 *** df.mm.trans1:exp8 -0.220374069985907 0.078764531578931 -2.79788460069831 0.00543095841325897 ** df.mm.trans2:exp8 -0.171677323414086 0.078764531578931 -2.17962730143385 0.0299569476552485 * df.mm.trans1:probe2 -0.240481925309524 0.0431411106771085 -5.57431001509028 4.99947789209298e-08 *** df.mm.trans1:probe3 -0.414682275568968 0.0431411106771085 -9.61222993707036 1.50424787512789e-19 *** df.mm.trans1:probe4 -0.627364815394363 0.0431411106771085 -14.5421572497264 9.60332357430001e-38 *** df.mm.trans1:probe5 -0.0698123431963035 0.0431411106771085 -1.61823240293503 0.106521083573571 df.mm.trans1:probe6 -0.481965303793831 0.0431411106771085 -11.1718334606895 5.82658944408569e-25 *** df.mm.trans2:probe2 0.0301395126442704 0.0431411106771085 0.69862625628373 0.485253580251116 df.mm.trans2:probe3 0.290444628875386 0.0431411106771085 6.73243280751928 6.92657023668306e-11 *** df.mm.trans2:probe4 0.142044359112459 0.0431411106771085 3.29255220561186 0.00109496890769484 ** df.mm.trans2:probe5 0.0211464297525828 0.0431411106771085 0.490168876523699 0.624324177033472 df.mm.trans2:probe6 -0.0379460973012705 0.0431411106771085 -0.879580907994691 0.379695100388479 df.mm.trans3:probe2 0.0548077934512877 0.0431411106771085 1.27043074670699 0.204782372062741 df.mm.trans3:probe3 0.430401008597234 0.0431411106771085 9.97658618060598 8.930285776018e-21 *** df.mm.trans3:probe4 0.610544724254628 0.0431411106771085 14.1522718045967 3.26949082259817e-36 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.55943042460777 0.205143748350731 22.2255392195164 1.10526569809845e-68 *** df.mm.trans1 -0.170396475346821 0.170912894627847 -0.996978465070466 0.319469674682079 df.mm.trans2 -0.190148245730981 0.170912894627847 -1.11254476231895 0.266674142666726 df.mm.exp2 -0.272147231577672 0.235482064724496 -1.15570258777913 0.248597955870724 df.mm.exp3 -0.307363146633233 0.235482064724495 -1.30525077140306 0.192672284074937 df.mm.exp4 -0.206651261554024 0.235482064724495 -0.877566883048175 0.380785991517584 df.mm.exp5 -0.444521959342884 0.235482064724495 -1.88771047112636 0.0598990470555686 . df.mm.exp6 -0.0735110016161088 0.235482064724495 -0.312172401333893 0.755097004700598 df.mm.exp7 -0.577424956358836 0.235482064724495 -2.45209739023819 0.0146946786967302 * df.mm.exp8 -0.279526777409088 0.235482064724495 -1.18704062551907 0.236023591181491 df.mm.trans1:exp2 0.102188781905538 0.199018668914163 0.51346329700161 0.607954045949277 df.mm.trans2:exp2 0.304629284507104 0.199018668914163 1.53065682817169 0.126765334433299 df.mm.trans1:exp3 0.371797218195764 0.199018668914163 1.86815247144538 0.0625834099469935 . df.mm.trans2:exp3 0.258671184738125 0.199018668914163 1.29973326698155 0.194555159818233 df.mm.trans1:exp4 0.202423960577878 0.199018668914163 1.01711041322050 0.309809539333659 df.mm.trans2:exp4 0.149135886784481 0.199018668914163 0.749356266917873 0.454150199540855 df.mm.trans1:exp5 0.144681171958089 0.199018668914163 0.726972865146084 0.467732725920976 df.mm.trans2:exp5 0.474879665134421 0.199018668914163 2.38610612625108 0.0175634410565898 * df.mm.trans1:exp6 -0.0386292330299257 0.199018668914163 -0.194098539803753 0.84621230230646 df.mm.trans2:exp6 0.076465745605779 0.199018668914163 0.384213933411235 0.701055228773142 df.mm.trans1:exp7 0.332316692752668 0.199018668914163 1.66977648160232 0.0958653901177815 . df.mm.trans2:exp7 0.506732522190756 0.199018668914163 2.54615571973959 0.0113233040080045 * df.mm.trans1:exp8 0.195745581361335 0.199018668914163 0.983553866726745 0.32602019029353 df.mm.trans2:exp8 0.407095913683368 0.199018668914163 2.04551621164218 0.0415576703887901 * df.mm.trans1:probe2 0.145427151489407 0.109007014328939 1.33410819830884 0.183043285664186 df.mm.trans1:probe3 0.0549484243862817 0.109007014328939 0.50408154672019 0.614523971701045 df.mm.trans1:probe4 0.0106173747438905 0.109007014328939 0.0974008398381738 0.922464311407312 df.mm.trans1:probe5 -0.0258119490348484 0.109007014328939 -0.236791633948970 0.81295816603647 df.mm.trans1:probe6 0.0663284514826167 0.109007014328939 0.608478746903975 0.54326808724868 df.mm.trans2:probe2 0.0117401268871616 0.109007014328939 0.107700655406767 0.91429539402414 df.mm.trans2:probe3 -0.106198579623210 0.109007014328939 -0.974236201926831 0.330617925495702 df.mm.trans2:probe4 0.0223901047779811 0.109007014328939 0.205400587437583 0.83737960274243 df.mm.trans2:probe5 0.154453753394329 0.109007014328939 1.41691573102121 0.157404729791592 df.mm.trans2:probe6 0.0818268284685806 0.109007014328939 0.750656542354789 0.453368099554198 df.mm.trans3:probe2 0.072785123433465 0.109007014328939 0.667710457730993 0.504762262794556 df.mm.trans3:probe3 0.00224050418171635 0.109007014328939 0.0205537615676310 0.983613439032116 df.mm.trans3:probe4 -0.00630824487181108 0.109007014328939 -0.0578700821286173 0.953885423977904