chrX.25743_chrX_90506547_90508400_+_2.R fitVsDatCorrelation=0.9292698437228 cont.fitVsDatCorrelation=0.241071260477106 fstatistic=11270.9281951037,69,1083 cont.fstatistic=1619.47817452881,69,1083 residuals=-1.41879950744999,-0.094874206381654,-0.00316821187970081,0.0808501452891805,0.89092345763921 cont.residuals=-0.790083100408239,-0.290610375128953,-0.102625038886464,0.215744693372590,2.13222509080779 predictedValues: Include Exclude Both chrX.25743_chrX_90506547_90508400_+_2.R.tl.Lung 59.7273288543794 74.5339548294196 64.2495308062875 chrX.25743_chrX_90506547_90508400_+_2.R.tl.cerebhem 55.3694572333071 78.060214938006 67.918625313548 chrX.25743_chrX_90506547_90508400_+_2.R.tl.cortex 54.6670391032138 69.0646837015236 61.849937884681 chrX.25743_chrX_90506547_90508400_+_2.R.tl.heart 58.4534516855484 83.1478342171778 65.8331925507551 chrX.25743_chrX_90506547_90508400_+_2.R.tl.kidney 60.7356488942052 78.9209205640862 64.9174612294802 chrX.25743_chrX_90506547_90508400_+_2.R.tl.liver 62.3866487952391 88.4486401055332 65.4266641758172 chrX.25743_chrX_90506547_90508400_+_2.R.tl.stomach 61.3384075339795 78.9142438659256 69.5018625989431 chrX.25743_chrX_90506547_90508400_+_2.R.tl.testicle 59.203068220032 85.2313049853652 62.509712341559 diffExp=-14.8066259750402,-22.6907577046990,-14.3976445983098,-24.6943825316295,-18.1852716698810,-26.0619913102941,-17.5758363319462,-26.0282367653332 diffExpScore=0.99395553986055 diffExp1.5=0,0,0,0,0,0,0,0 diffExp1.5Score=0 diffExp1.4=0,-1,0,-1,0,-1,0,-1 diffExp1.4Score=0.8 diffExp1.3=0,-1,0,-1,0,-1,0,-1 diffExp1.3Score=0.8 diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 64.401080968929 59.0609460329515 80.4418747056457 cerebhem 68.0872594517531 74.503316394604 74.2856497255308 cortex 61.9844380181958 79.9314381111182 66.3943086275014 heart 64.4589556906867 71.1494824805634 72.2796607694129 kidney 69.9294722109127 60.5585759379683 70.2003815490175 liver 63.111389821121 61.4010085052146 73.6429873333871 stomach 69.0494294390285 63.6501393060188 65.3272457027345 testicle 74.0972835827693 67.6611739626606 68.0237040110184 cont.diffExp=5.34013493597748,-6.41605694285094,-17.9470000929224,-6.69052678987671,9.37089627294438,1.71038131590639,5.39929013300973,6.43610962010871 cont.diffExpScore=15.6212706923261 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,-1,0,0,0,0,0 cont.diffExp1.2Score=0.5 tran.correlation=0.628159116566098 cont.tran.correlation=-0.213743510004512 tran.covariance=0.00233692179834585 cont.tran.covariance=-0.00129488626400965 tran.mean=69.2626779704339 cont.tran.mean=67.064711869656 weightedLogRatios: wLogRatio Lung -0.930269101351112 cerebhem -1.43760731320003 cortex -0.962752164588173 heart -1.49569061711818 kidney -1.10986404072233 liver -1.50375725130893 stomach -1.06889216570294 testicle -1.55348004757521 cont.weightedLogRatios: wLogRatio Lung 0.356789508744705 cerebhem -0.384151867834526 cortex -1.08173886249764 heart -0.416289773504698 kidney 0.600761727626337 liver 0.113503713411423 stomach 0.341489231221728 testicle 0.387085753488009 varWeightedLogRatios=0.0698207439004481 cont.varWeightedLogRatios=0.322531964377639 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.22275092668731 0.0738242125305915 57.2000808669306 0 *** df.mm.trans1 -0.396728033907292 0.0629611991953191 -6.3011511689375 4.29034745133992e-10 *** df.mm.trans2 0.114984693213401 0.0548422291423672 2.09664514027881 0.0362565113826980 * df.mm.exp2 -0.0850717138803754 0.0687572445383886 -1.23727636922504 0.216252696700560 df.mm.exp3 -0.126676687494749 0.0687572445383886 -1.84237585937614 0.0656934114021713 . df.mm.exp4 0.0634566858585276 0.0687572445383886 0.922909088119411 0.356260146339383 df.mm.exp5 0.0635904766219005 0.0687572445383886 0.924854930543307 0.355247397776688 df.mm.exp6 0.196573396784185 0.0687572445383886 2.85894814581225 0.00433198508716174 ** df.mm.exp7 0.00514433167009323 0.0687572445383886 0.074818758439644 0.940372733787474 df.mm.exp8 0.152750166846161 0.0687572445383886 2.22158650876240 0.0265173755575341 * df.mm.trans1:exp2 0.00931015671720197 0.0625120053552344 0.148933899405331 0.881633518824566 df.mm.trans2:exp2 0.131297438049897 0.0414921259066793 3.16439409118734 0.00159736288393081 ** df.mm.trans1:exp3 0.0381479540822522 0.0625120053552343 0.61025004501888 0.54182421129768 df.mm.trans2:exp3 0.0504654068379839 0.0414921259066793 1.21626467034942 0.224149133089663 df.mm.trans1:exp4 -0.085015631448125 0.0625120053552343 -1.35998886877825 0.174116478904672 df.mm.trans2:exp4 0.0459086816680465 0.0414921259066793 1.10644322663294 0.26878043089501 df.mm.trans1:exp5 -0.0468493399116616 0.0625120053552344 -0.749445480838966 0.453751502626612 df.mm.trans2:exp5 -0.00639892208993213 0.0414921259066793 -0.154220155031923 0.877464884176047 df.mm.trans1:exp6 -0.153011791325657 0.0625120053552344 -2.44771848953083 0.0145343115312286 * df.mm.trans2:exp6 -0.0254061420985841 0.0414921259066793 -0.61231237357482 0.540459639348719 df.mm.trans1:exp7 0.0214721799719469 0.0625120053552344 0.343488900250886 0.731297358953022 df.mm.trans2:exp7 0.0519626194315974 0.0414921259066793 1.25234892876946 0.210713117936771 df.mm.trans1:exp8 -0.161566483667192 0.0625120053552344 -2.58456728030184 0.00988003779304677 ** df.mm.trans2:exp8 -0.0186361621673929 0.0414921259066793 -0.449149368950335 0.653413772720357 df.mm.trans1:probe2 0.0616661804653999 0.0474812765539431 1.29874731559379 0.194307115885859 df.mm.trans1:probe3 0.0626230046407974 0.0474812765539431 1.31889892576186 0.187481711838977 df.mm.trans1:probe4 0.0793592235243036 0.0474812765539431 1.67137931588980 0.094935672158855 . df.mm.trans1:probe5 0.246574199755187 0.0474812765539431 5.19308278232697 2.46957487184089e-07 *** df.mm.trans1:probe6 0.237729938443005 0.0474812765539431 5.00681438446419 6.45599587920057e-07 *** df.mm.trans1:probe7 0.215665384246583 0.0474812765539431 4.54211427954275 6.19386098277009e-06 *** df.mm.trans1:probe8 0.0809996656108 0.0474812765539431 1.70592855730778 0.0883081018869473 . df.mm.trans1:probe9 0.393176415002757 0.0474812765539431 8.28066226391516 3.57862555055217e-16 *** df.mm.trans1:probe10 0.244862406692032 0.0474812765539431 5.15703082274644 2.98163073078263e-07 *** df.mm.trans1:probe11 0.276417487254004 0.0474812765539431 5.82161027073415 7.67288027966581e-09 *** df.mm.trans1:probe12 0.426676558243532 0.0474812765539431 8.98620654730687 1.11318362665442e-18 *** df.mm.trans1:probe13 0.560323568249617 0.0474812765539431 11.8009373150075 2.54064728114133e-30 *** df.mm.trans1:probe14 0.272984982367159 0.0474812765539431 5.74931851415206 1.16448214467667e-08 *** df.mm.trans1:probe15 0.413063720824553 0.0474812765539431 8.69950748597238 1.21966403236222e-17 *** df.mm.trans1:probe16 0.671226120615005 0.0474812765539431 14.1366485766748 9.14411480543604e-42 *** df.mm.trans1:probe17 1.05590643134234 0.0474812765539431 22.2383749548673 1.51245199829732e-90 *** df.mm.trans1:probe18 1.20712898766890 0.0474812765539431 25.4232631318893 3.43821077295770e-112 *** df.mm.trans1:probe19 1.13504848302744 0.0474812765539431 23.9051804291303 9.20191232529076e-102 *** df.mm.trans1:probe20 1.24091383151944 0.0474812765539431 26.1348034758427 3.91107435287646e-117 *** df.mm.trans1:probe21 1.16658223778823 0.0474812765539431 24.5693107358411 2.65505841297825e-106 *** df.mm.trans1:probe22 1.02927646313823 0.0474812765539431 21.6775229698990 7.7269777520525e-87 *** df.mm.trans2:probe2 -0.153208276761620 0.0474812765539431 -3.22670930271981 0.00128974509460112 ** df.mm.trans2:probe3 -0.0102815319113625 0.0474812765539431 -0.216538658131520 0.828608675666916 df.mm.trans2:probe4 -0.231558012565151 0.0474812765539431 -4.87682786502337 1.23929417640886e-06 *** df.mm.trans2:probe5 -0.33883613325078 0.0474812765539431 -7.13620521271856 1.75398253650522e-12 *** df.mm.trans2:probe6 0.0453824050606665 0.0474812765539431 0.955795807408587 0.339388703815517 df.mm.trans3:probe2 0.0715528422200512 0.0474812765539431 1.50696963968019 0.132110061601357 df.mm.trans3:probe3 0.152425177931287 0.0474812765539431 3.21021651046213 0.00136533793693562 ** df.mm.trans3:probe4 0.209723663698639 0.0474812765539431 4.41697609920773 1.10130958724717e-05 *** df.mm.trans3:probe5 0.819034866783658 0.0474812765539431 17.2496387255545 4.25986563593718e-59 *** df.mm.trans3:probe6 0.133009805027415 0.0474812765539431 2.80131063612629 0.00518017246229558 ** df.mm.trans3:probe7 -0.0580301775609982 0.0474812765539431 -1.22216970083082 0.221909388911592 df.mm.trans3:probe8 0.686948203249036 0.0474812765539431 14.4677703108635 1.67047280457667e-43 *** df.mm.trans3:probe9 1.66631287602028 0.0474812765539431 35.0941043913845 8.11242332603014e-181 *** df.mm.trans3:probe10 0.466186172356528 0.0474812765539431 9.81831589609638 7.42810279915711e-22 *** df.mm.trans3:probe11 -0.109956688262539 0.0474812765539431 -2.31579048085655 0.0207557808509568 * df.mm.trans3:probe12 -0.0249090758740592 0.0474812765539431 -0.524608386334352 0.599962816107328 df.mm.trans3:probe13 -0.143036034951355 0.0474812765539431 -3.01247239612131 0.00265147433650057 ** df.mm.trans3:probe14 0.0194214738220288 0.0474812765539431 0.409034365366404 0.682595315842101 df.mm.trans3:probe15 0.0512849539705173 0.0474812765539431 1.08010899648523 0.280334120338081 df.mm.trans3:probe16 0.125397684093821 0.0474812765539431 2.64099226463209 0.00838535030471766 ** df.mm.trans3:probe17 0.13358351714734 0.0474812765539431 2.81339354883555 0.00499082237907188 ** df.mm.trans3:probe18 0.2706974683079 0.0474812765539431 5.70114133305499 1.53375386982099e-08 *** df.mm.trans3:probe19 0.024653611257612 0.0474812765539431 0.519228063078785 0.603707800504116 df.mm.trans3:probe20 -0.0589636366497018 0.0474812765539431 -1.24182922046575 0.214568443976699 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.77183732818607 0.193954064601264 19.4470651385435 1.7369546651337e-72 *** df.mm.trans1 0.331208786185062 0.165414300776208 2.00229837825908 0.0455016244615980 * df.mm.trans2 0.305199045359649 0.144083802445550 2.11820510133321 0.0343849812778041 * df.mm.exp2 0.367550513810084 0.180641913972024 2.03469120608967 0.0421251471384854 * df.mm.exp3 0.456275815790047 0.180641913972024 2.52585795708913 0.0116833105376563 * df.mm.exp4 0.294103511524834 0.180641913972024 1.62810227736173 0.103794052490097 df.mm.exp5 0.243579099782031 0.180641913972024 1.34840854166190 0.177808937912856 df.mm.exp6 0.106933153192245 0.180641913972024 0.591962024986101 0.553999571143812 df.mm.exp7 0.352649499950726 0.180641913972024 1.95220196795158 0.0511716245755805 . df.mm.exp8 0.443869711827354 0.180641913972024 2.45718007558365 0.0141591755690232 * df.mm.trans1:exp2 -0.311890822235959 0.16423415989706 -1.89906181778169 0.0578218895939086 . df.mm.trans2:exp2 -0.135276768406168 0.109009851818102 -1.24095910736486 0.214889593884547 df.mm.trans1:exp3 -0.494522880158428 0.16423415989706 -3.01108417681431 0.00266352438906374 ** df.mm.trans2:exp3 -0.153676466536514 0.109009851818102 -1.40974842157334 0.158901081626796 df.mm.trans1:exp4 -0.293205254359162 0.16423415989706 -1.78528787520781 0.0744944127357992 . df.mm.trans2:exp4 -0.107890355009362 0.109009851818102 -0.989730315287386 0.322527022804501 df.mm.trans1:exp5 -0.161222323687488 0.16423415989706 -0.981661329095848 0.326485965020653 df.mm.trans2:exp5 -0.218537900178792 0.109009851818102 -2.00475366706719 0.0452379327783669 * df.mm.trans1:exp6 -0.127162313838584 0.16423415989706 -0.774274450079617 0.438937502592329 df.mm.trans2:exp6 -0.0680767873623082 0.109009851818102 -0.624501237520288 0.532429993148328 df.mm.trans1:exp7 -0.282957301342716 0.16423415989706 -1.72288944955221 0.0851939787906573 . df.mm.trans2:exp7 -0.277817880678747 0.109009851818102 -2.54855754819596 0.0109540367213069 * df.mm.trans1:exp8 -0.303621257200551 0.16423415989706 -1.8487095339414 0.0647721847542845 . df.mm.trans2:exp8 -0.307927092068618 0.109009851818102 -2.82476388081360 0.00481838606061214 ** df.mm.trans1:probe2 0.121833510521967 0.124744799360750 0.976662042396143 0.328954596222868 df.mm.trans1:probe3 -0.00953013126857487 0.124744799360750 -0.0763970227008396 0.939117348572273 df.mm.trans1:probe4 0.133590622099507 0.124744799360750 1.07091135489485 0.284447887917293 df.mm.trans1:probe5 0.172045678431249 0.124744799360750 1.37918117078139 0.168123641546897 df.mm.trans1:probe6 0.0404778934320770 0.124744799360750 0.324485618955696 0.745633070382752 df.mm.trans1:probe7 0.0290986290562484 0.124744799360750 0.233265268014084 0.815599507128102 df.mm.trans1:probe8 0.0921289367816001 0.124744799360750 0.738539299864296 0.460346808523901 df.mm.trans1:probe9 0.360678663075836 0.124744799360750 2.89133226334181 0.00391276683548052 ** df.mm.trans1:probe10 0.0315077841483761 0.124744799360750 0.252577937596089 0.800642309709553 df.mm.trans1:probe11 0.158259425504598 0.124744799360750 1.26866551804638 0.204833001027982 df.mm.trans1:probe12 0.072936491874307 0.124744799360750 0.584685632171181 0.558880897731589 df.mm.trans1:probe13 0.074534211571623 0.124744799360750 0.59749353843664 0.55030282328035 df.mm.trans1:probe14 0.105697971679179 0.124744799360750 0.84731365332122 0.397007523137255 df.mm.trans1:probe15 0.0686161671527489 0.124744799360750 0.550052326865489 0.582396903287324 df.mm.trans1:probe16 0.0552489555234231 0.124744799360750 0.442895862645533 0.657929508008051 df.mm.trans1:probe17 0.385163622529057 0.124744799360750 3.08761266604150 0.00206903702960073 ** df.mm.trans1:probe18 0.0534649137362612 0.124744799360750 0.428594330266595 0.668303701904755 df.mm.trans1:probe19 0.149638518308178 0.124744799360750 1.19955716851520 0.230573733395591 df.mm.trans1:probe20 0.122659106282872 0.124744799360750 0.98328032039359 0.325689103087456 df.mm.trans1:probe21 0.218863002475445 0.124744799360750 1.75448598736781 0.0796300537896794 . df.mm.trans1:probe22 0.170626787949343 0.124744799360750 1.36780682500364 0.171656299442132 df.mm.trans2:probe2 -0.0528813284909794 0.124744799360750 -0.423916097199786 0.67171118709517 df.mm.trans2:probe3 0.0736795997402745 0.124744799360750 0.590642656991257 0.554883108398569 df.mm.trans2:probe4 -0.0408174736774672 0.124744799360750 -0.327207818575483 0.743573940901951 df.mm.trans2:probe5 -0.0273077042437889 0.124744799360750 -0.218908558783423 0.826762525521503 df.mm.trans2:probe6 0.0871984477037778 0.124744799360750 0.699014693603446 0.484692935314545 df.mm.trans3:probe2 0.0879404136628343 0.124744799360750 0.704962564479496 0.480985112195375 df.mm.trans3:probe3 -0.0242079952153849 0.124744799360750 -0.194060155929850 0.846165172106036 df.mm.trans3:probe4 0.0430558373949502 0.124744799360750 0.345151361945254 0.730047604000966 df.mm.trans3:probe5 0.00259696373204899 0.124744799360750 0.0208182124253439 0.983394504238489 df.mm.trans3:probe6 0.00956662271279177 0.124744799360750 0.0766895514828321 0.93888468145951 df.mm.trans3:probe7 -0.0731377122812596 0.124744799360750 -0.58629868865116 0.557796985539242 df.mm.trans3:probe8 -0.0172948101114843 0.124744799360750 -0.138641532152931 0.88975919671894 df.mm.trans3:probe9 -0.0322969470129874 0.124744799360750 -0.258904156153138 0.795758390705427 df.mm.trans3:probe10 -0.00965756906621145 0.124744799360750 -0.077418610761341 0.938304836109818 df.mm.trans3:probe11 -0.0993530765968284 0.124744799360750 -0.79645065049573 0.425944699729927 df.mm.trans3:probe12 -0.0213955710729326 0.124744799360750 -0.171514733941402 0.863851087042245 df.mm.trans3:probe13 -0.0053273026385932 0.124744799360750 -0.0427056090986781 0.965944080172755 df.mm.trans3:probe14 0.105095711052212 0.124744799360750 0.842485711554885 0.399702145725208 df.mm.trans3:probe15 -0.0515294849707693 0.124744799360750 -0.413079224423225 0.679630340580046 df.mm.trans3:probe16 -0.0934733725526376 0.124744799360750 -0.74931678941037 0.453829013858244 df.mm.trans3:probe17 -0.0460102980564357 0.124744799360750 -0.368835400691763 0.712322507218366 df.mm.trans3:probe18 -0.0778903264199269 0.124744799360750 -0.624397384252274 0.532498152164746 df.mm.trans3:probe19 -0.0755229669187898 0.124744799360750 -0.605419763435467 0.545026965995071 df.mm.trans3:probe20 -0.0353639048074463 0.124744799360750 -0.283490013120126 0.776855418275406