chr15.8547_chr15_76545348_76546258_-_2.R fitVsDatCorrelation=0.906194269545295 cont.fitVsDatCorrelation=0.202434518402873 fstatistic=6996.52611082095,51,669 cont.fstatistic=1293.84956183808,51,669 residuals=-0.71512502482493,-0.125703248193035,0.0033277660301046,0.115378807978511,0.859184014640324 cont.residuals=-1.12729999614740,-0.356799757333277,0.0247243726134804,0.354881864907775,1.26941766121885 predictedValues: Include Exclude Both chr15.8547_chr15_76545348_76546258_-_2.R.tl.Lung 81.5096321386423 136.188728508691 154.879333172086 chr15.8547_chr15_76545348_76546258_-_2.R.tl.cerebhem 59.8415937647805 77.2717305254858 106.684302416623 chr15.8547_chr15_76545348_76546258_-_2.R.tl.cortex 68.9211129757995 112.800787488164 124.023506128886 chr15.8547_chr15_76545348_76546258_-_2.R.tl.heart 79.4773595253301 137.642139491366 132.719307989114 chr15.8547_chr15_76545348_76546258_-_2.R.tl.kidney 80.81539533035 119.191117897065 151.326954139480 chr15.8547_chr15_76545348_76546258_-_2.R.tl.liver 80.0474866141045 121.927779237924 156.335735144396 chr15.8547_chr15_76545348_76546258_-_2.R.tl.stomach 75.058930314363 163.668284409161 138.774048698669 chr15.8547_chr15_76545348_76546258_-_2.R.tl.testicle 70.1510776956612 137.890210425869 166.611725814607 diffExp=-54.6790963700482,-17.4301367607053,-43.8796745123648,-58.1647799660361,-38.3757225667155,-41.8802926238198,-88.6093540947976,-67.7391327302074 diffExpScore=0.997571390138199 diffExp1.5=-1,0,-1,-1,0,-1,-1,-1 diffExp1.5Score=0.857142857142857 diffExp1.4=-1,0,-1,-1,-1,-1,-1,-1 diffExp1.4Score=0.875 diffExp1.3=-1,0,-1,-1,-1,-1,-1,-1 diffExp1.3Score=0.875 diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 115.690599889019 101.760365835578 109.256841038532 cerebhem 118.363315720094 102.561173529617 108.507782636248 cortex 120.756757766601 100.312357478797 115.201337749149 heart 119.582269298509 123.539674589002 97.0470890216476 kidney 110.070840889852 112.087951679478 119.481057123938 liver 121.990603426994 105.334258410259 114.428921178737 stomach 112.996307043826 108.978207225397 105.243609564792 testicle 98.6228154345151 92.7264724763979 117.150870091508 cont.diffExp=13.9302340534409,15.8021421904774,20.444400287804,-3.95740529049304,-2.01711078962600,16.6563450167346,4.01809981842928,5.89634295811722 cont.diffExpScore=1.15255074750178 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=0.610661836411076 cont.tran.correlation=0.425136624879066 tran.covariance=0.0167445276992038 cont.tran.covariance=0.00274391914688846 tran.mean=100.150210396422 cont.tran.mean=110.335873168371 weightedLogRatios: wLogRatio Lung -2.39072905157018 cerebhem -1.07862273952644 cortex -2.20677186415909 heart -2.55374543327747 kidney -1.78211363855273 liver -1.93278536642533 stomach -3.67025192461848 testicle -3.1009755067049 cont.weightedLogRatios: wLogRatio Lung 0.601306459622911 cerebhem 0.673809444190653 cortex 0.871991724800345 heart -0.156286552443070 kidney -0.0855357945523516 liver 0.694468607586438 stomach 0.170508852705036 testicle 0.281147219411916 varWeightedLogRatios=0.640399389529158 cont.varWeightedLogRatios=0.147745126137053 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.67902461078364 0.100794996312101 36.5000718824568 2.49145717339011e-161 *** df.mm.trans1 0.360632577016469 0.0860574888428628 4.19060074684457 3.15566127209822e-05 *** df.mm.trans2 1.24049030567135 0.0780487439729728 15.8937894772645 1.70615347741643e-48 *** df.mm.exp2 -0.502961398336133 0.101722103175462 -4.94446519129246 9.6649521078196e-07 *** df.mm.exp3 -0.13400174686411 0.101722103175462 -1.31733165832177 0.188178466710882 df.mm.exp4 0.139776374049789 0.101722103175462 1.3741003153335 0.169870717883363 df.mm.exp5 -0.118663548331944 0.101722103175462 -1.16654635155605 0.24380928687135 df.mm.exp6 -0.138073420142431 0.101722103175462 -1.35735907764575 0.175124860639468 df.mm.exp7 0.211151690097114 0.101722103175462 2.07576999988778 0.0382966591911265 * df.mm.exp8 -0.210673663563289 0.101722103175462 -2.07107066199658 0.0387350686436893 * df.mm.trans1:exp2 0.193941166403768 0.0913491453181381 2.12307587255838 0.0341140267508892 * df.mm.trans2:exp2 -0.0637520575226574 0.0730793162545105 -0.872368007667594 0.383320628853935 df.mm.trans1:exp3 -0.0337568918128889 0.0913491453181381 -0.369537029551016 0.711844416705193 df.mm.trans2:exp3 -0.0544165661978887 0.0730793162545105 -0.744623362489794 0.456760922561397 df.mm.trans1:exp4 -0.16502537780724 0.0913491453181382 -1.80653444794160 0.071284123369188 . df.mm.trans2:exp4 -0.129160882510479 0.0730793162545105 -1.76740682768098 0.0776159479327817 . df.mm.trans1:exp5 0.110109832962328 0.0913491453181382 1.20537343375083 0.228485345963737 df.mm.trans2:exp5 -0.0146498474791375 0.0730793162545105 -0.200465032104529 0.841177827971614 df.mm.trans1:exp6 0.119972262378461 0.0913491453181381 1.31333754640658 0.189519485197457 df.mm.trans2:exp6 0.0274606827509421 0.0730793162545105 0.375765458112741 0.707210388190219 df.mm.trans1:exp7 -0.293599346579731 0.0913491453181381 -3.21403495957432 0.00137172239042259 ** df.mm.trans2:exp7 -0.0273516000255033 0.0730793162545105 -0.374272796015865 0.70831996496712 df.mm.trans1:exp8 0.0606036337122718 0.0913491453181382 0.663428579448772 0.507284645367219 df.mm.trans2:exp8 0.223089822077677 0.0730793162545105 3.05270811922666 0.00235777080723577 ** df.mm.trans1:probe2 0.143886378240580 0.061278869585359 2.34805862468060 0.0191618368372564 * df.mm.trans1:probe3 -0.050797321845883 0.061278869585359 -0.828953311142992 0.407426481771952 df.mm.trans1:probe4 1.18962834932705 0.061278869585359 19.4133533692220 6.28283650892701e-67 *** df.mm.trans1:probe5 0.909405400718647 0.061278869585359 14.8404402181715 2.80921469016988e-43 *** df.mm.trans1:probe6 0.519391594496252 0.061278869585359 8.4758677503468 1.48614913755568e-16 *** df.mm.trans1:probe7 1.22396895187847 0.061278869585359 19.9737521295743 5.70755786652252e-70 *** df.mm.trans1:probe8 0.788772595738289 0.061278869585359 12.8718529090939 4.93631994642803e-34 *** df.mm.trans1:probe9 1.15360139587924 0.061278869585359 18.8254353202831 9.19174561309644e-64 *** df.mm.trans1:probe10 0.186706764105144 0.061278869585359 3.04683760272485 0.00240365476043874 ** df.mm.trans1:probe11 0.162534439405431 0.061278869585359 2.65237333040268 0.0081823246483166 ** df.mm.trans1:probe12 0.406777797090135 0.061278869585359 6.6381413339146 6.57081025393452e-11 *** df.mm.trans1:probe13 0.459725166882071 0.061278869585359 7.50218093109065 2.00486609945354e-13 *** df.mm.trans1:probe14 0.83673127417761 0.061278869585359 13.6544828558248 1.27171970684386e-37 *** df.mm.trans1:probe15 0.735203483031686 0.0612788695853591 11.9976671894637 3.5628107284715e-30 *** df.mm.trans2:probe2 0.0103067724056992 0.061278869585359 0.168194558343512 0.866481055900522 df.mm.trans2:probe3 -0.0945627679713649 0.061278869585359 -1.54315457532458 0.123266142811658 df.mm.trans2:probe4 0.00378523179160621 0.0612788695853591 0.0617705877608191 0.950763975596775 df.mm.trans2:probe5 0.0804080492820894 0.061278869585359 1.31216600152984 0.189914165676638 df.mm.trans2:probe6 -0.0820365316383003 0.0612788695853591 -1.33874094273274 0.181109756726622 df.mm.trans3:probe2 -0.0317491266139599 0.0612788695853591 -0.518108882046765 0.60455360109918 df.mm.trans3:probe3 -0.175840161333206 0.061278869585359 -2.86950726283010 0.00424084184016009 ** df.mm.trans3:probe4 0.250767200342844 0.061278869585359 4.09222954078053 4.79407797438371e-05 *** df.mm.trans3:probe5 -0.868837457332247 0.061278869585359 -14.1784184860328 4.32834179383253e-40 *** df.mm.trans3:probe6 -0.855480770762481 0.061278869585359 -13.9604528698237 4.668459611766e-39 *** df.mm.trans3:probe7 0.207562702820682 0.061278869585359 3.38718230648095 0.000747504858307603 *** df.mm.trans3:probe8 -0.107482440870823 0.061278869585359 -1.75398863585602 0.0798903165095982 . df.mm.trans3:probe9 -0.556450524862407 0.061278869585359 -9.08062646435233 1.19881668957013e-18 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.71304498656778 0.233428887921295 20.1904958231085 3.75124699178445e-71 *** df.mm.trans1 0.0740762899780413 0.199298622480103 0.371684907081768 0.710245153368631 df.mm.trans2 -0.0976178520508883 0.180751348537702 -0.54006707468922 0.589330503335861 df.mm.exp2 0.037557746907904 0.235575954065616 0.159429458990721 0.873378650322676 df.mm.exp3 -0.0244528419339476 0.235575954065616 -0.103800245788824 0.917358980341557 df.mm.exp4 0.345531992391814 0.235575954065616 1.46675408261563 0.142912866329046 df.mm.exp5 -0.0425884582353723 0.235575954065616 -0.180784403078381 0.856591558142486 df.mm.exp6 0.0412902436386981 0.235575954065616 0.175273591918458 0.860917695518729 df.mm.exp7 0.0823866818904265 0.235575954065616 0.349724496361284 0.726655531324872 df.mm.exp8 -0.322344589889701 0.235575954065616 -1.36832552018411 0.171669557637576 df.mm.trans1:exp2 -0.0147182912531706 0.211553451901003 -0.0695724466838673 0.94455475820079 df.mm.trans2:exp2 -0.0297190060972338 0.169242761520802 -0.175599865129717 0.860661444275675 df.mm.trans1:exp3 0.0673117124997249 0.211553451901003 0.318178275489561 0.750449007314899 df.mm.trans2:exp3 0.0101210398174732 0.169242761520802 0.0598019066016553 0.95233126621907 df.mm.trans1:exp4 -0.312446797219588 0.211553451901003 -1.47691656369568 0.140168565201996 df.mm.trans2:exp4 -0.151590330848943 0.169242761520802 -0.895697573631889 0.370736469088548 df.mm.trans1:exp5 -0.00720676050858663 0.211553451901003 -0.0340659083736391 0.97283475505684 df.mm.trans2:exp5 0.139251609542013 0.169242761520802 0.822792114065669 0.410919397710622 df.mm.trans1:exp6 0.0117343916963471 0.211553451901003 0.055467739197365 0.955782391469632 df.mm.trans2:exp6 -0.00677223105026443 0.169242761520802 -0.0400148933367057 0.968093190906275 df.mm.trans1:exp7 -0.105950930081933 0.211553451901003 -0.500823452086772 0.616660107402228 df.mm.trans2:exp7 -0.0138594480303329 0.169242761520802 -0.0818909352801444 0.934757936539266 df.mm.trans1:exp8 0.162727833248321 0.211553451901003 0.769204339546631 0.44204349418798 df.mm.trans2:exp8 0.229377898508232 0.169242761520802 1.35531881214334 0.175773406035754 df.mm.trans1:probe2 -0.222561160758205 0.141914369797612 -1.56827783596267 0.117289147124556 df.mm.trans1:probe3 -0.0400969723615738 0.141914369797612 -0.282543426847874 0.777614244934828 df.mm.trans1:probe4 -0.0624305383746664 0.141914369797612 -0.439916961641729 0.660139332093336 df.mm.trans1:probe5 -0.0396018349170193 0.141914369797612 -0.279054439472877 0.78028928780842 df.mm.trans1:probe6 -0.0294664084574423 0.141914369797612 -0.207635128841886 0.835577062055486 df.mm.trans1:probe7 0.0232206172909386 0.141914369797612 0.163624144081069 0.87007645396258 df.mm.trans1:probe8 -0.0627660221983733 0.141914369797612 -0.44228094933505 0.658428860248368 df.mm.trans1:probe9 -0.00728584196495442 0.141914369797612 -0.0513397055939081 0.959070154184337 df.mm.trans1:probe10 0.0763227597481536 0.141914369797612 0.537808538043043 0.590888092799068 df.mm.trans1:probe11 -0.0924618519571215 0.141914369797612 -0.651532696012276 0.514926424570097 df.mm.trans1:probe12 -0.127409088409752 0.141914369797612 -0.897788494508716 0.369621299740607 df.mm.trans1:probe13 -0.0345038940120857 0.141914369797612 -0.243131784760715 0.807977836702342 df.mm.trans1:probe14 -0.201154178240218 0.141914369797612 -1.41743347433448 0.156821784199271 df.mm.trans1:probe15 -0.0486509742860099 0.141914369797612 -0.34281922511013 0.731842149805479 df.mm.trans2:probe2 -0.0211830065122742 0.141914369797612 -0.149266114083330 0.881388637395503 df.mm.trans2:probe3 -0.0706023502330453 0.141914369797612 -0.497499656544528 0.619000217211368 df.mm.trans2:probe4 0.111175575238504 0.141914369797612 0.783398998967156 0.433670088252502 df.mm.trans2:probe5 0.0248416922642612 0.141914369797612 0.175047053372316 0.861095624932124 df.mm.trans2:probe6 0.0636714915044632 0.141914369797612 0.448661341309317 0.65382125948739 df.mm.trans3:probe2 0.140213781179397 0.141914369797612 0.988016797589697 0.323501619602304 df.mm.trans3:probe3 -0.0270745372553024 0.141914369797612 -0.190780801788530 0.84875521028365 df.mm.trans3:probe4 -0.0542607773506093 0.141914369797612 -0.382348717948661 0.702324155250277 df.mm.trans3:probe5 -0.0171841000875495 0.141914369797612 -0.121087808881202 0.903657844054026 df.mm.trans3:probe6 0.0496776321369675 0.141914369797612 0.350053572501601 0.726408669924134 df.mm.trans3:probe7 0.0389476393118605 0.141914369797612 0.274444648328458 0.783827658929222 df.mm.trans3:probe8 -0.0238195803945701 0.141914369797612 -0.167844739250435 0.866756150487831 df.mm.trans3:probe9 -0.0687178260422045 0.141914369797612 -0.484220351612065 0.628387971030956