chr16.9591_chr16_29184504_29196956_-_2.R fitVsDatCorrelation=0.821923552896274 cont.fitVsDatCorrelation=0.208571356781179 fstatistic=15026.1451083293,69,1083 cont.fstatistic=5086.45828826188,69,1083 residuals=-0.511704516201302,-0.0788233735675749,-0.00846229351329725,0.0736533849620908,1.02845579637548 cont.residuals=-0.470884828117289,-0.148615212554295,-0.0426649961088611,0.110055550255180,1.01754893279406 predictedValues: Include Exclude Both chr16.9591_chr16_29184504_29196956_-_2.R.tl.Lung 64.6344458588615 45.9202107760111 53.03581463939 chr16.9591_chr16_29184504_29196956_-_2.R.tl.cerebhem 73.077745837242 44.3924114671477 58.4221055051354 chr16.9591_chr16_29184504_29196956_-_2.R.tl.cortex 65.6508868422684 46.1667049463162 55.864832425797 chr16.9591_chr16_29184504_29196956_-_2.R.tl.heart 62.9100570709195 47.0430431066611 54.6434859591939 chr16.9591_chr16_29184504_29196956_-_2.R.tl.kidney 64.971135200841 45.6532989736142 53.5307734753433 chr16.9591_chr16_29184504_29196956_-_2.R.tl.liver 68.5039426036234 51.7926624201397 58.1876290200184 chr16.9591_chr16_29184504_29196956_-_2.R.tl.stomach 66.3279341382383 47.5051917152294 54.2709459907199 chr16.9591_chr16_29184504_29196956_-_2.R.tl.testicle 65.8138745376358 45.888107985204 56.5077182523575 diffExp=18.7142350828504,28.6853343700943,19.4841818959522,15.8670139642584,19.3178362272267,16.7112801834836,18.8227424230089,19.9257665524318 diffExpScore=0.993691981634402 diffExp1.5=0,1,0,0,0,0,0,0 diffExp1.5Score=0.5 diffExp1.4=1,1,1,0,1,0,0,1 diffExp1.4Score=0.833333333333333 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 53.2802045626839 56.2539512420783 52.3839123041337 cerebhem 53.7631794901967 58.0189329066252 56.0445195927426 cortex 52.9273130764007 55.7084632071081 52.3902224146195 heart 54.0242256619566 58.3250128297695 53.2305283357601 kidney 52.4777902890319 54.7738616369468 55.6997450167293 liver 53.7753371274082 54.3329747769328 52.5870459351066 stomach 53.9969656839179 53.131938839257 55.020716195321 testicle 51.6959488301251 56.1494449840877 54.3336841529119 cont.diffExp=-2.97374667939435,-4.25575341642853,-2.78115013070739,-4.30078716781296,-2.29607134791488,-0.557637649524608,0.865026844660882,-4.45349615396263 cont.diffExpScore=1.03356010786222 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=-0.0470319374455982 cont.tran.correlation=0.0607883470891801 tran.covariance=-0.000115945961191389 cont.tran.covariance=2.42878553263753e-05 tran.mean=56.6407283424971 cont.tran.mean=54.5397215715329 weightedLogRatios: wLogRatio Lung 1.36662555371493 cerebhem 2.014904149719 cortex 1.41129309446162 heart 1.16152137452135 kidney 1.41059008394036 liver 1.14291972095485 stomach 1.34434239015652 testicle 1.44484938161326 cont.weightedLogRatios: wLogRatio Lung -0.217393427470977 cerebhem -0.306449906946856 cortex -0.204569881011323 heart -0.308518087867499 kidney -0.170512946507768 liver -0.0411620333525702 stomach 0.064289271033812 testicle -0.329450275944494 varWeightedLogRatios=0.0723364253483866 cont.varWeightedLogRatios=0.0193152631195987 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.42312239320408 0.0596943733524407 74.0961357796586 0 *** df.mm.trans1 -0.0250001307757319 0.0509105238328867 -0.491060175648449 0.623483378019833 df.mm.trans2 -0.605128029151483 0.0443455119896874 -13.6457558386564 3.07286697566575e-39 *** df.mm.exp2 -0.00778730444197176 0.0555972151339756 -0.140066447990358 0.888633534131426 df.mm.exp3 -0.031010486076055 0.0555972151339756 -0.557770492664558 0.577116386326039 df.mm.exp4 -0.0327463728670224 0.0555972151339756 -0.588993041973627 0.555988770639807 df.mm.exp5 -0.00992312027473778 0.0555972151339756 -0.178482325973082 0.858377581003197 df.mm.exp6 0.0857816195019069 0.0555972151339756 1.54291216376925 0.123144220382178 df.mm.exp7 0.0367757279360912 0.0555972151339756 0.661467086929997 0.508453515791855 df.mm.exp8 -0.046025956640785 0.0555972151339756 -0.827846440327519 0.407939852467137 df.mm.trans1:exp2 0.130563704029072 0.0505473049934507 2.58300030132148 0.0099247428766379 ** df.mm.trans2:exp2 -0.0260494956999076 0.0335505976990060 -0.77642419171207 0.437668097911895 df.mm.trans1:exp3 0.0466141090664313 0.0505473049934507 0.922187821338268 0.356636005089176 df.mm.trans2:exp3 0.0363640101263733 0.033550597699006 1.08385580646304 0.278669968305435 df.mm.trans1:exp4 0.00570492732415082 0.0505473049934507 0.112863135332141 0.910159979546239 df.mm.trans2:exp4 0.0569040241875647 0.033550597699006 1.6960658852659 0.0901607978911113 . df.mm.trans1:exp5 0.0151187313991872 0.0505473049934507 0.299100642480269 0.764920641390826 df.mm.trans2:exp5 0.00409364930672042 0.033550597699006 0.122014199074662 0.902910408886335 df.mm.trans1:exp6 -0.0276378059407354 0.0505473049934507 -0.546771107664718 0.584648628968181 df.mm.trans2:exp6 0.0345615255383629 0.0335505976990060 1.03013144053129 0.303178306834579 df.mm.trans1:exp7 -0.0109120764013693 0.0505473049934507 -0.215878500402409 0.82912310717749 df.mm.trans2:exp7 -0.00284206567094316 0.033550597699006 -0.0847098372565614 0.932507731127783 df.mm.trans1:exp8 0.0641091456709736 0.0505473049934507 1.26829997522677 0.20496341212488 df.mm.trans2:exp8 0.0453266127785142 0.033550597699006 1.35099270615549 0.176979942570378 df.mm.trans1:probe2 -0.519650292506435 0.0383934342501393 -13.5348739349763 1.12106315210268e-38 *** df.mm.trans1:probe3 -0.56590483762037 0.0383934342501393 -14.7396253727502 5.96565579887537e-45 *** df.mm.trans1:probe4 -0.425762222247524 0.0383934342501393 -11.0894539799075 3.83047447502547e-27 *** df.mm.trans1:probe5 -0.46347738393882 0.0383934342501393 -12.0717876113710 1.43074943859535e-31 *** df.mm.trans1:probe6 -0.557903064361857 0.0383934342501393 -14.5312102253482 7.70413755131787e-44 *** df.mm.trans1:probe7 -0.460234148975563 0.0383934342501393 -11.9873139239659 3.52789541429794e-31 *** df.mm.trans1:probe8 -0.284669405714679 0.0383934342501392 -7.41453353352068 2.45656864919564e-13 *** df.mm.trans1:probe9 -0.638361690532735 0.0383934342501393 -16.6268452666596 1.83491380358813e-55 *** df.mm.trans1:probe10 -0.465693112027407 0.0383934342501393 -12.1294987313024 7.70197571831098e-32 *** df.mm.trans1:probe11 -0.208182170530242 0.0383934342501393 -5.42233781885471 7.2514389869094e-08 *** df.mm.trans1:probe12 -0.414310821139268 0.0383934342501393 -10.7911894111886 7.41006732947396e-26 *** df.mm.trans1:probe13 -0.262466852605425 0.0383934342501393 -6.83624316843896 1.35525448854397e-11 *** df.mm.trans1:probe14 -0.372654864200133 0.0383934342501393 -9.70621335336213 2.05211237425917e-21 *** df.mm.trans1:probe15 -0.214094078365854 0.0383934342501393 -5.57632008043348 3.10113917190392e-08 *** df.mm.trans1:probe16 -0.32652975400771 0.0383934342501393 -8.50483319310061 5.96968192548614e-17 *** df.mm.trans1:probe17 -0.639005623949566 0.0383934342501392 -16.6436172337787 1.46811458129796e-55 *** df.mm.trans1:probe18 -0.486298573628031 0.0383934342501393 -12.6661910591201 2.18740454424230e-34 *** df.mm.trans1:probe19 -0.584133305904374 0.0383934342501393 -15.2144062471373 1.60750220295053e-47 *** df.mm.trans1:probe20 -0.603548451246356 0.0383934342501393 -15.7200954547109 2.58499513007489e-50 *** df.mm.trans1:probe21 -0.60263579939929 0.0383934342501393 -15.6963244150816 3.5080362557879e-50 *** df.mm.trans1:probe22 -0.538224144153762 0.0383934342501392 -14.0186507059292 3.74980804486147e-41 *** df.mm.trans2:probe2 -0.00416326537611121 0.0383934342501393 -0.108436910045267 0.913669210140546 df.mm.trans2:probe3 0.0160030996833022 0.0383934342501393 0.416818656519224 0.676893656157476 df.mm.trans2:probe4 0.101709345623148 0.0383934342501393 2.64913383263649 0.00818728747637256 ** df.mm.trans2:probe5 -0.0160998518696991 0.0383934342501393 -0.419338675587239 0.675051796890452 df.mm.trans2:probe6 0.134236100410056 0.0383934342501393 3.49632959467721 0.000490815721316069 *** df.mm.trans3:probe2 0.349126494262833 0.0383934342501393 9.09339060393034 4.47326188026738e-19 *** df.mm.trans3:probe3 0.462233990436381 0.0383934342501393 12.0394020348598 2.02336709270904e-31 *** df.mm.trans3:probe4 0.218729352345465 0.0383934342501393 5.69705098325951 1.56989548799625e-08 *** df.mm.trans3:probe5 -0.0390826196697639 0.0383934342501393 -1.01795060621914 0.308928777153715 df.mm.trans3:probe6 0.100836656423704 0.0383934342501393 2.62640366492712 0.00875101259435136 ** df.mm.trans3:probe7 -0.0960025595849891 0.0383934342501393 -2.50049419803181 0.0125489204338026 * df.mm.trans3:probe8 0.209207433599837 0.0383934342501393 5.449041943912 6.26766570209536e-08 *** df.mm.trans3:probe9 0.0268506935036314 0.0383934342501393 0.699356388092165 0.484479508469353 df.mm.trans3:probe10 0.00419654484672089 0.0383934342501393 0.109303711134038 0.912981851984333 df.mm.trans3:probe11 0.566279945015684 0.0383934342501393 14.7493954650236 5.28832191469079e-45 *** df.mm.trans3:probe12 0.114893036578400 0.0383934342501393 2.99251783077946 0.00282957445128841 ** df.mm.trans3:probe13 0.0675502137843508 0.0383934342501393 1.75942098183378 0.0787883599612412 . df.mm.trans3:probe14 0.519673698984898 0.0383934342501393 13.5354835829257 1.11313642453265e-38 *** df.mm.trans3:probe15 0.118797381225840 0.0383934342501393 3.09421086042619 0.00202396635521073 ** df.mm.trans3:probe16 0.109443278662798 0.0383934342501393 2.85057278152713 0.00444684651398836 ** df.mm.trans3:probe17 -0.110636944595445 0.0383934342501393 -2.88166314778272 0.00403389811592329 ** df.mm.trans3:probe18 0.180065885837536 0.0383934342501393 4.69001769063893 3.08037141528005e-06 *** df.mm.trans3:probe19 0.135553155497725 0.0383934342501393 3.53063376968508 0.000431993840420875 *** df.mm.trans3:probe20 0.621748362313485 0.0383934342501393 16.1941325243972 5.52622712706778e-53 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.12038089135891 0.102496046012862 40.2003887139399 5.55103040911563e-217 *** df.mm.trans1 -0.157852405660776 0.0874140576450342 -1.80580114816056 0.0712269715244578 . df.mm.trans2 -0.0762276195699983 0.0761418435624312 -1.00112652916654 0.316989266995135 df.mm.exp2 -0.0276297655947292 0.0954611699651244 -0.28943460052735 0.772304218322043 df.mm.exp3 -0.0165100012884234 0.0954611699651244 -0.172949915598721 0.862723112395505 df.mm.exp4 0.0339899131039548 0.0954611699651244 0.356060093505795 0.721864909179365 df.mm.exp5 -0.103214049858436 0.0954611699651244 -1.08121501020932 0.279842180735494 df.mm.exp6 -0.0293651785843417 0.0954611699651244 -0.307613855927702 0.758435321118004 df.mm.exp7 -0.0928453077488864 0.0954611699651244 -0.972597630877626 0.330970494495339 df.mm.exp8 -0.0685897744920528 0.0954611699651244 -0.71850967798856 0.472598062718488 df.mm.trans1:exp2 0.0366537367490755 0.0867904059876197 0.422324752741725 0.672871820916287 df.mm.trans2:exp2 0.0585228693781003 0.0576068297963921 1.01590157946455 0.309903154043563 df.mm.trans1:exp3 0.0098646565372166 0.0867904059876197 0.113660679714112 0.909527849431402 df.mm.trans2:exp3 0.00676579643539989 0.057606829796392 0.117447817547211 0.906526970430777 df.mm.trans1:exp4 -0.020122209385968 0.0867904059876197 -0.231848314995074 0.816699628937119 df.mm.trans2:exp4 0.00216484185271667 0.057606829796392 0.0375796040220956 0.97002979570417 df.mm.trans1:exp5 0.0880392222202997 0.0867904059876197 1.01438887419029 0.310623795869065 df.mm.trans2:exp5 0.076550869673381 0.057606829796392 1.32885058844490 0.184177168838979 df.mm.trans1:exp6 0.0386152573259164 0.0867904059876197 0.44492541412267 0.656462562787886 df.mm.trans2:exp6 -0.0053797914174648 0.057606829796392 -0.0933880832616437 0.925612530411432 df.mm.trans1:exp7 0.106208296081351 0.0867904059876198 1.22373314046371 0.221319082232209 df.mm.trans2:exp7 0.0357472569879849 0.057606829796392 0.620538521462325 0.535033859362213 df.mm.trans1:exp8 0.0384043281365164 0.0867904059876198 0.442495085712522 0.658219342936756 df.mm.trans2:exp8 0.0667302881844895 0.057606829796392 1.15837459586552 0.246966573912839 df.mm.trans1:probe2 0.0897869960352518 0.0659220456216273 1.36201774669740 0.173475505601257 df.mm.trans1:probe3 0.000265864249745836 0.0659220456216273 0.00403300970470207 0.99678287528136 df.mm.trans1:probe4 -0.0429460984412929 0.0659220456216273 -0.651467927554775 0.514882686841197 df.mm.trans1:probe5 0.00313220654340774 0.0659220456216273 0.0475137947233261 0.96211249627604 df.mm.trans1:probe6 0.0220415892443357 0.0659220456216273 0.334358393106423 0.738173869722367 df.mm.trans1:probe7 -0.0290600130688601 0.0659220456216273 -0.440823897299179 0.659428471484846 df.mm.trans1:probe8 0.0867213607854976 0.0659220456216273 1.31551380069806 0.188615706486663 df.mm.trans1:probe9 -0.0400869379914663 0.0659220456216273 -0.608096087029113 0.54325124696626 df.mm.trans1:probe10 0.0340217932959189 0.0659220456216273 0.516091285928743 0.605896003149435 df.mm.trans1:probe11 0.00549102306675731 0.0659220456216273 0.0832957019913205 0.933631810617607 df.mm.trans1:probe12 -0.0344655720869123 0.0659220456216273 -0.522823158200131 0.601204260542828 df.mm.trans1:probe13 0.0717906421606973 0.0659220456216273 1.08902327717125 0.276385889838031 df.mm.trans1:probe14 0.0213727579834278 0.0659220456216274 0.324212602656492 0.745839686407102 df.mm.trans1:probe15 0.0274129421682536 0.0659220456216273 0.415838766982379 0.677610372210787 df.mm.trans1:probe16 0.0562112275328958 0.0659220456216273 0.852692403623687 0.394018436242370 df.mm.trans1:probe17 0.0359259789266151 0.0659220456216273 0.544976700705245 0.58588174716033 df.mm.trans1:probe18 0.111749561899841 0.0659220456216273 1.69517740000439 0.0903292259589235 . df.mm.trans1:probe19 0.0495700822907907 0.0659220456216273 0.751950001298625 0.45224451214717 df.mm.trans1:probe20 0.0416283931971013 0.0659220456216273 0.631479087224261 0.527860577112142 df.mm.trans1:probe21 0.0222672078936595 0.0659220456216273 0.337780899905117 0.735593764869937 df.mm.trans1:probe22 0.0146969508008117 0.0659220456216273 0.222944398375739 0.823620821670206 df.mm.trans2:probe2 -0.107607284061545 0.0659220456216273 -1.63234139727972 0.102898285188426 df.mm.trans2:probe3 -0.0776867602405198 0.0659220456216273 -1.17846404048834 0.238870521013197 df.mm.trans2:probe4 -0.0748788497405334 0.0659220456216274 -1.13586963260084 0.256262423835445 df.mm.trans2:probe5 -0.0995398380783402 0.0659220456216273 -1.50996282259912 0.131344599392098 df.mm.trans2:probe6 -0.0114889784414205 0.0659220456216274 -0.174281279245546 0.861676983529701 df.mm.trans3:probe2 0.00984381398673547 0.0659220456216274 0.149325068630849 0.881324936668963 df.mm.trans3:probe3 -0.0344098289528769 0.0659220456216273 -0.52197756650907 0.6017926885203 df.mm.trans3:probe4 0.0386347173644909 0.0659220456216274 0.586066724722751 0.557952793345646 df.mm.trans3:probe5 0.129726500926487 0.0659220456216273 1.96787735731196 0.0493369824950698 * df.mm.trans3:probe6 0.034735872512573 0.0659220456216273 0.526923462174496 0.59835464878797 df.mm.trans3:probe7 0.102445794479211 0.0659220456216273 1.55404453113029 0.120465956675486 df.mm.trans3:probe8 0.0953435060470417 0.0659220456216273 1.44630684845984 0.148380493204519 df.mm.trans3:probe9 0.103540711000315 0.0659220456216274 1.57065379303621 0.116555183675845 df.mm.trans3:probe10 0.0981391443873018 0.0659220456216273 1.48871509465272 0.136853531344654 df.mm.trans3:probe11 0.0858378561723537 0.0659220456216273 1.30211153739126 0.193155120218754 df.mm.trans3:probe12 0.0728037170042903 0.0659220456216273 1.10439104730095 0.269668849033936 df.mm.trans3:probe13 0.0592159025338312 0.0659220456216273 0.898271617263102 0.369240417264188 df.mm.trans3:probe14 0.111213562833108 0.0659220456216274 1.68704659851486 0.0918823658308393 . df.mm.trans3:probe15 0.0787196383162048 0.0659220456216273 1.19413221440414 0.232687732618039 df.mm.trans3:probe16 0.0819823619823243 0.0659220456216273 1.24362587976833 0.213906412020299 df.mm.trans3:probe17 0.109283797108482 0.0659220456216273 1.65777314823842 0.0976528649011322 . df.mm.trans3:probe18 0.082746251610081 0.0659220456216274 1.25521365166699 0.209671983919532 df.mm.trans3:probe19 0.116067542801361 0.0659220456216273 1.76067871842985 0.0785750082402823 . df.mm.trans3:probe20 0.0701023571423145 0.0659220456216274 1.06341295209012 0.287831772452147