chr18.11363_chr18_20123019_20125699_-_2.R fitVsDatCorrelation=0.885431658554348 cont.fitVsDatCorrelation=0.270785181349167 fstatistic=8023.27783734653,37,347 cont.fstatistic=1863.05758554017,37,347 residuals=-0.46048197255532,-0.0986623189577937,-0.00510810390641262,0.0810273103639052,0.84772154398659 cont.residuals=-0.541676027829496,-0.206341770943395,-0.0468865361614305,0.135964802995449,1.32421160029163 predictedValues: Include Exclude Both chr18.11363_chr18_20123019_20125699_-_2.R.tl.Lung 50.0756224748237 46.3451623105229 71.7907748960001 chr18.11363_chr18_20123019_20125699_-_2.R.tl.cerebhem 53.1133807042948 62.0462740865165 78.133948557982 chr18.11363_chr18_20123019_20125699_-_2.R.tl.cortex 48.9959013242541 50.1744678207852 61.3734511109619 chr18.11363_chr18_20123019_20125699_-_2.R.tl.heart 53.7129557522397 53.1313535133984 69.6834685558527 chr18.11363_chr18_20123019_20125699_-_2.R.tl.kidney 53.2415384205483 49.5795637430874 75.1367046542773 chr18.11363_chr18_20123019_20125699_-_2.R.tl.liver 52.1919923227485 53.9530281106591 77.8587051756975 chr18.11363_chr18_20123019_20125699_-_2.R.tl.stomach 52.5548371914303 59.2552601906779 85.654726820918 chr18.11363_chr18_20123019_20125699_-_2.R.tl.testicle 60.4404805028516 63.1586255305294 99.0577427458823 diffExp=3.73046016430081,-8.93289338222168,-1.17856649653114,0.581602238841285,3.66197467746089,-1.76103578791062,-6.70042299924755,-2.71814502767776 diffExpScore=2.04407671825153 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=0,0,0,0,0,0,0,0 diffExp1.2Score=0 cont.predictedValues: Include Exclude Both Lung 57.2413124811881 54.4878399722687 59.6720629294993 cerebhem 56.8818844067004 54.0129452288312 62.139127034523 cortex 58.1048125082199 62.512823134348 54.7277420197395 heart 56.2440257146704 53.8218897440906 63.4299241617797 kidney 60.1153306022829 58.2134635464508 57.3162212330787 liver 54.4474038498692 60.0375116881805 54.4025855035654 stomach 55.2704055539864 61.0986780369482 57.4051345294209 testicle 66.1563680309753 53.0333886937925 58.6407669548373 cont.diffExp=2.75347250891938,2.86893917786913,-4.40801062612816,2.42213597057977,1.9018670558321,-5.59010783831127,-5.82827248296188,13.1229793371828 cont.diffExpScore=4.71864252771106 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=0,0,0,0,0,0,0,1 cont.diffExp1.2Score=0.5 tran.correlation=0.697298702030467 cont.tran.correlation=-0.415278816821103 tran.covariance=0.00485832546864013 cont.tran.covariance=-0.00168412438871828 tran.mean=53.8731527499605 cont.tran.mean=57.6050051995502 weightedLogRatios: wLogRatio Lung 0.299978919680296 cerebhem -0.629602926166224 cortex -0.0927876769797514 heart 0.0433108535851459 kidney 0.280708656036567 liver -0.131793902236272 stomach -0.482612298403632 testicle -0.181400952784486 cont.weightedLogRatios: wLogRatio Lung 0.198308766926714 cerebhem 0.207794170575446 cortex -0.299718167812858 heart 0.176416788080616 kidney 0.131170925876110 liver -0.395443358495663 stomach -0.40726265196533 testicle 0.902411135064972 varWeightedLogRatios=0.108415920542626 cont.varWeightedLogRatios=0.189180792556477 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.00920406412274 0.0798531402519828 37.6842295071549 1.06154676662614e-124 *** df.mm.trans1 0.931196708296382 0.0665286242223484 13.9969331874982 1.32411960839303e-35 *** df.mm.trans2 0.775126366826608 0.0665286242223484 11.6510205326962 1.06111251283253e-26 *** df.mm.exp2 0.265989465610267 0.0916624683542525 2.90183616463703 0.00394676042849838 ** df.mm.exp3 0.214370345605212 0.0916624683542524 2.33869270001244 0.0199185156232365 * df.mm.exp4 0.236563098662258 0.0916624683542524 2.58080654939382 0.0102670722103895 * df.mm.exp5 0.083213192062294 0.0916624683542524 0.907821855076997 0.364602374749702 df.mm.exp6 0.112251944269041 0.0916624683542524 1.22462275219576 0.221548099474482 df.mm.exp7 0.117492045769675 0.0916624683542524 1.28179011409117 0.200772060130910 df.mm.exp8 0.175710333319428 0.0916624683542524 1.91692779470385 0.0560680860094754 . df.mm.trans1:exp2 -0.207094890766821 0.0774689251285145 -2.67326402713434 0.00786666689664798 ** df.mm.trans2:exp2 0.0257740837390363 0.0774689251285145 0.332702224747268 0.739559975629741 df.mm.trans1:exp3 -0.236168009761757 0.0774689251285145 -3.0485515239817 0.00247604300331901 ** df.mm.trans2:exp3 -0.134980970985358 0.0774689251285144 -1.74238858692613 0.0823264242538012 . df.mm.trans1:exp4 -0.166443176890735 0.0774689251285145 -2.14851537716084 0.032364428117647 * df.mm.trans2:exp4 -0.0999127965669513 0.0774689251285145 -1.28971450683231 0.198008713691155 df.mm.trans1:exp5 -0.0219086153244827 0.0774689251285144 -0.282805205934355 0.777494787359004 df.mm.trans2:exp5 -0.0157513780888547 0.0774689251285144 -0.203325114718250 0.839000104702207 df.mm.trans1:exp6 -0.0708571772515946 0.0774689251285145 -0.914652902877488 0.361009006218265 df.mm.trans2:exp6 0.0397449604091345 0.0774689251285144 0.513043912035709 0.608247063748602 df.mm.trans1:exp7 -0.0691692156941993 0.0774689251285145 -0.892864017145627 0.372548776457563 df.mm.trans2:exp7 0.128245596349771 0.0774689251285145 1.65544566594957 0.0987381879384212 . df.mm.trans1:exp8 0.0124144418089612 0.0774689251285145 0.160250600977962 0.872776915677396 df.mm.trans2:exp8 0.133822180578709 0.0774689251285144 1.72743045494319 0.084980184535584 . df.mm.trans1:probe2 -0.177308404744468 0.0424314777985662 -4.17869972821121 3.71450818172894e-05 *** df.mm.trans1:probe3 0.135560110265314 0.0424314777985662 3.19480058905454 0.00152756245943064 ** df.mm.trans1:probe4 -0.159863315563217 0.0424314777985662 -3.76756417304465 0.000193627726567811 *** df.mm.trans1:probe5 0.115875360260757 0.0424314777985662 2.73088203080858 0.00663910250491664 ** df.mm.trans1:probe6 -0.182928351161462 0.0424314777985662 -4.31114730507084 2.11884425625683e-05 *** df.mm.trans2:probe2 0.0521498935474358 0.0424314777985662 1.22903788067448 0.219890397043699 df.mm.trans2:probe3 0.132175559069327 0.0424314777985662 3.11503548607947 0.00199242371909961 ** df.mm.trans2:probe4 0.141651515539377 0.0424314777985662 3.33835922971703 0.000934186880799292 *** df.mm.trans2:probe5 0.122589740451319 0.0424314777985662 2.88912257624601 0.00410592905965137 ** df.mm.trans2:probe6 0.0692981173452212 0.0424314777985662 1.63317708787326 0.103338751154471 df.mm.trans3:probe2 -0.285497054141574 0.0424314777985662 -6.72842589873741 7.0973530598816e-11 *** df.mm.trans3:probe3 -0.927719598051257 0.0424314777985662 -21.8639473848966 3.07988133529817e-67 *** df.mm.trans3:probe4 -0.553867966962624 0.0424314777985662 -13.0532330170537 5.89307122005001e-32 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.90963583687042 0.165393372430622 23.6384069047893 2.75284221693099e-74 *** df.mm.trans1 0.100821155511481 0.137795376469626 0.731672992915729 0.464862016280759 df.mm.trans2 0.0349481749792041 0.137795376469626 0.253623712744148 0.799936479558306 df.mm.exp2 -0.055564684369575 0.189853081777189 -0.292672016958806 0.769947787898053 df.mm.exp3 0.238859962533387 0.189853081777189 1.25813055177957 0.209190462141554 df.mm.exp4 -0.090945144736316 0.189853081777189 -0.479029067555769 0.632219674720288 df.mm.exp5 0.155408389953054 0.189853081777189 0.818571858293251 0.413592512188078 df.mm.exp6 0.139403562394933 0.189853081777189 0.734270737614556 0.463279617315589 df.mm.exp7 0.118204594712565 0.189853081777189 0.622610882088758 0.53394918987884 df.mm.exp8 0.135123218858576 0.189853081777189 0.711725180301033 0.477113172469497 df.mm.trans1:exp2 0.0492657149626899 0.160455139837312 0.307037312813046 0.758999145042163 df.mm.trans2:exp2 0.0468108716644986 0.160455139837312 0.291738062812826 0.770661233247824 df.mm.trans1:exp3 -0.223887354505196 0.160455139837312 -1.3953267856187 0.163809640821866 df.mm.trans2:exp3 -0.101465813685374 0.160455139837312 -0.632362501994335 0.52756647193587 df.mm.trans1:exp4 0.073369086797127 0.160455139837312 0.457256070896308 0.647773139788814 df.mm.trans2:exp4 0.0786478447212046 0.160455139837312 0.490154723625225 0.624334180921583 df.mm.trans1:exp5 -0.106419379910075 0.160455139837312 -0.663234471753136 0.507620745743553 df.mm.trans2:exp5 -0.0892692865550271 0.160455139837312 -0.556350433183621 0.578329904418532 df.mm.trans1:exp6 -0.189444277543685 0.160455139837312 -1.18066817763373 0.238543223253022 df.mm.trans2:exp6 -0.0424115577220700 0.160455139837312 -0.264320343773790 0.791690003857075 df.mm.trans1:exp7 -0.153242875072963 0.160455139837312 -0.955051207635593 0.340216653506409 df.mm.trans2:exp7 -0.00369192182496452 0.160455139837312 -0.0230090592841577 0.981656271952078 df.mm.trans1:exp8 0.00962204973318425 0.160455139837312 0.0599672266213484 0.952216258210894 df.mm.trans2:exp8 -0.162179085302446 0.160455139837312 -1.01074409624324 0.312843187530069 df.mm.trans1:probe2 0.168503480549513 0.0878848995565417 1.91732005611618 0.0560180806304777 . df.mm.trans1:probe3 0.0236842010749535 0.0878848995565417 0.269491132088237 0.78771194495821 df.mm.trans1:probe4 0.0659070435884939 0.0878848995565417 0.749924548142561 0.453808291296176 df.mm.trans1:probe5 0.0785996612707765 0.0878848995565417 0.89434773968432 0.371755762141591 df.mm.trans1:probe6 0.0314945283584041 0.0878848995565417 0.358361089530992 0.720291019446133 df.mm.trans2:probe2 0.0884122001219856 0.0878848995565417 1.00599989950611 0.315116603948137 df.mm.trans2:probe3 0.039325152216099 0.0878848995565417 0.447461991929555 0.654820718170094 df.mm.trans2:probe4 0.0760140334643164 0.0878848995565417 0.864927124544438 0.387676329764858 df.mm.trans2:probe5 0.179662665474032 0.0878848995565417 2.04429505387833 0.0416787843446649 * df.mm.trans2:probe6 0.150521400221225 0.0878848995565417 1.71271061332198 0.0876590856757652 . df.mm.trans3:probe2 0.118265894934592 0.0878848995565417 1.34569073334953 0.179280875740718 df.mm.trans3:probe3 0.0732880849662878 0.0878848995565417 0.833909867748522 0.404905450335294 df.mm.trans3:probe4 -0.0177188363757616 0.0878848995565417 -0.201614116476995 0.840336545834475