chr14.7058_chr14_46996739_46997476_-_2.R fitVsDatCorrelation=0.941854371651097 cont.fitVsDatCorrelation=0.237868731631799 fstatistic=6791.520613888,69,1083 cont.fstatistic=799.006569637381,69,1083 residuals=-1.11052979713992,-0.105649226680592,-0.0157667121639923,0.0934208341635966,1.21797454790749 cont.residuals=-0.992108205017899,-0.354703644532124,-0.143412817509966,0.131648504077584,3.55714909255906 predictedValues: Include Exclude Both chr14.7058_chr14_46996739_46997476_-_2.R.tl.Lung 60.2003193271218 53.0976860568868 94.238874986822 chr14.7058_chr14_46996739_46997476_-_2.R.tl.cerebhem 81.1216149782194 64.7318052527806 91.191461200042 chr14.7058_chr14_46996739_46997476_-_2.R.tl.cortex 82.3202127889685 56.8380541750027 109.503951001427 chr14.7058_chr14_46996739_46997476_-_2.R.tl.heart 86.3370108854129 54.4985407205961 115.992688679378 chr14.7058_chr14_46996739_46997476_-_2.R.tl.kidney 74.874657814849 55.2278365823326 120.127573626099 chr14.7058_chr14_46996739_46997476_-_2.R.tl.liver 57.9307515822144 53.6810979856377 82.3022516897125 chr14.7058_chr14_46996739_46997476_-_2.R.tl.stomach 62.669163155133 53.7503090766506 84.126415200247 chr14.7058_chr14_46996739_46997476_-_2.R.tl.testicle 70.2623839255721 55.1328406941908 97.4363113426467 diffExp=7.102633270235,16.3898097254388,25.4821586139658,31.8384701648168,19.6468212325164,4.24965359657666,8.91885407848238,15.1295432313813 diffExpScore=0.992293342743876 diffExp1.5=0,0,0,1,0,0,0,0 diffExp1.5Score=0.5 diffExp1.4=0,0,1,1,0,0,0,0 diffExp1.4Score=0.666666666666667 diffExp1.3=0,0,1,1,1,0,0,0 diffExp1.3Score=0.75 diffExp1.2=0,1,1,1,1,0,0,1 diffExp1.2Score=0.833333333333333 cont.predictedValues: Include Exclude Both Lung 68.8987712404644 76.24524929251 74.4186489861705 cerebhem 76.294095267443 71.9967243722188 74.1483907525416 cortex 70.9649465754548 74.0533617954969 76.8676664091135 heart 78.9522174347207 70.8747399000391 84.0632597962675 kidney 73.7854038328346 63.523271292562 68.8530539038774 liver 74.4571353852104 62.2804434417877 86.5580006035204 stomach 69.3685581804483 94.3835828843302 79.9629890073895 testicle 85.7484391934987 62.3616396638502 78.2734087331834 cont.diffExp=-7.34647805204567,4.29737089522426,-3.08841522004208,8.07747753468162,10.2621325402726,12.1766919434227,-25.0150247038819,23.3867995296486 cont.diffExpScore=3.94308227827846 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,-1,1 cont.diffExp1.3Score=2 cont.diffExp1.2=0,0,0,0,0,0,-1,1 cont.diffExp1.2Score=2 tran.correlation=0.535834199373562 cont.tran.correlation=-0.609395654608445 tran.covariance=0.00546139339286623 cont.tran.covariance=-0.00640961400471195 tran.mean=63.917142812598 cont.tran.mean=73.3867862345544 weightedLogRatios: wLogRatio Lung 0.506559413318486 cerebhem 0.96668214650921 cortex 1.56513719209058 heart 1.94533647406378 kidney 1.26719746039307 liver 0.306361367317147 stomach 0.623461905437682 testicle 1.00172822865245 cont.weightedLogRatios: wLogRatio Lung -0.433969769072024 cerebhem 0.249617300539057 cortex -0.182476048154869 heart 0.465699372423128 kidney 0.632905482016353 liver 0.753758327001059 stomach -1.35287488673384 testicle 1.36692134368927 varWeightedLogRatios=0.306826585509837 cont.varWeightedLogRatios=0.698169201703943 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.60495967536508 0.097981029278332 36.7924250430619 6.47923949040443e-193 *** df.mm.trans1 0.503729672940139 0.0835634121962239 6.02811277927808 2.27186906706625e-09 *** df.mm.trans2 0.37434509298672 0.0727877463922909 5.14296858387647 3.20800759725651e-07 *** df.mm.exp2 0.529262618916418 0.0912560440441086 5.79975413640108 8.70853753679427e-09 *** df.mm.exp3 0.230883890013486 0.0912560440441085 2.53006682934764 0.0115449194536429 * df.mm.exp4 0.178926909433307 0.0912560440441085 1.96071297312453 0.0501685262058195 . df.mm.exp5 0.0147500819301419 0.0912560440441086 0.161634027473430 0.871624207743952 df.mm.exp6 0.107932614018112 0.0912560440441086 1.18274482691736 0.237169877995968 df.mm.exp7 0.165920092925847 0.0912560440441086 1.81818195894674 0.0693124775574136 . df.mm.exp8 0.158804962350334 0.0912560440441086 1.74021308959629 0.0821056536815727 . df.mm.trans1:exp2 -0.230990827501041 0.082967232795343 -2.78412114901832 0.00546075545450763 ** df.mm.trans2:exp2 -0.331143307996987 0.0550692119011488 -6.01322039239278 2.48341348156865e-09 *** df.mm.trans1:exp3 0.0820551296710269 0.082967232795343 0.989006465642092 0.322880884424632 df.mm.trans2:exp3 -0.162811170960171 0.0550692119011488 -2.95648267588109 0.00317915203271156 ** df.mm.trans1:exp4 0.181653803081278 0.082967232795343 2.18946440613931 0.028775921276594 * df.mm.trans2:exp4 -0.152886334106738 0.0550692119011488 -2.7762578912728 0.00559362856664575 ** df.mm.trans1:exp5 0.203387747671593 0.082967232795343 2.45142257755292 0.0143864179074775 * df.mm.trans2:exp5 0.0245836799400470 0.0550692119011488 0.44641423204268 0.655387298140739 df.mm.trans1:exp6 -0.146361911759404 0.082967232795343 -1.76409296571862 0.0779982172115637 . df.mm.trans2:exp6 -0.0970050175012442 0.0550692119011488 -1.76151090877007 0.0784341015390497 . df.mm.trans1:exp7 -0.125728238713540 0.0829672327953431 -1.51539631342986 0.129963868343753 df.mm.trans2:exp7 -0.153704025886614 0.0550692119011488 -2.79110632929554 0.00534512024205047 ** df.mm.trans1:exp8 -0.00424604277252143 0.0829672327953431 -0.0511773459167335 0.959193640793066 df.mm.trans2:exp8 -0.121192754097757 0.0550692119011488 -2.20073521871537 0.0279652504631078 * df.mm.trans1:probe2 0.163083193924070 0.0630181371223792 2.58787709968906 0.00978620044985052 ** df.mm.trans1:probe3 0.0702061526280642 0.0630181371223792 1.11406264662705 0.265499492272957 df.mm.trans1:probe4 0.706822688520538 0.0630181371223792 11.2161787192775 1.06741574197095e-27 *** df.mm.trans1:probe5 -0.196734670966209 0.0630181371223792 -3.12187379617644 0.00184465773852887 ** df.mm.trans1:probe6 0.166139158187252 0.0630181371223792 2.63637050813823 0.00849968524727329 ** df.mm.trans1:probe7 0.116145659907964 0.0630181371223792 1.84305130572826 0.0655946560366046 . df.mm.trans1:probe8 0.0634036176536956 0.0630181371223792 1.00611697757057 0.314584039446682 df.mm.trans1:probe9 0.22990083170051 0.0630181371223792 3.64816927631564 0.000276693365473444 *** df.mm.trans1:probe10 -0.019688831616799 0.0630181371223792 -0.312431190699337 0.754772994865212 df.mm.trans1:probe11 -0.280554148678656 0.0630181371223792 -4.45195877710299 9.389802907001e-06 *** df.mm.trans1:probe12 -0.228618340070816 0.0630181371223792 -3.62781812523031 0.000299150616957011 *** df.mm.trans1:probe13 -0.188206374928720 0.0630181371223792 -2.98654297830526 0.00288499145503514 ** df.mm.trans1:probe14 -0.09980611541837 0.0630181371223792 -1.58376810194420 0.113538451092377 df.mm.trans1:probe15 -0.253093044036701 0.0630181371223792 -4.0161936800068 6.32256828836022e-05 *** df.mm.trans1:probe16 -0.2944058944069 0.0630181371223792 -4.67176447687074 3.36129234783767e-06 *** df.mm.trans1:probe17 0.00116928372344213 0.0630181371223792 0.0185547173692459 0.985199744587803 df.mm.trans1:probe18 -0.191006995941895 0.0630181371223792 -3.03098448579915 0.00249548454813242 ** df.mm.trans1:probe19 -0.0407880378582528 0.0630181371223792 -0.647242837074726 0.5176119543034 df.mm.trans1:probe20 -0.134693133520579 0.0630181371223792 -2.13737091686810 0.0327912920247954 * df.mm.trans1:probe21 -0.0658726801999681 0.0630181371223792 -1.04529716694172 0.296118895222515 df.mm.trans1:probe22 0.0141066355727667 0.0630181371223792 0.223850405881914 0.82291592607439 df.mm.trans2:probe2 -0.0319991929095578 0.0630181371223792 -0.507777512486863 0.611712776666665 df.mm.trans2:probe3 0.0174086203703639 0.0630181371223792 0.276247778263533 0.782410469189218 df.mm.trans2:probe4 -0.0441313523287235 0.0630181371223792 -0.700296047200218 0.483892848213103 df.mm.trans2:probe5 -0.0314881437038253 0.0630181371223792 -0.499667954999626 0.617410396401819 df.mm.trans2:probe6 -0.0962468029780347 0.0630181371223792 -1.52728733937543 0.126981563413062 df.mm.trans3:probe2 -0.171180334196406 0.0630181371223792 -2.71636614493982 0.00670541628187462 ** df.mm.trans3:probe3 -0.419204984455369 0.0630181371223792 -6.65213228441339 4.57555641627567e-11 *** df.mm.trans3:probe4 1.96183243529915 0.0630181371223792 31.1312349885769 1.72438425529502e-152 *** df.mm.trans3:probe5 -0.499571069002844 0.0630181371223792 -7.92741727723072 5.53576715937369e-15 *** df.mm.trans3:probe6 -0.323101684884392 0.0630181371223792 -5.12712212131784 3.48302829908401e-07 *** df.mm.trans3:probe7 -0.585303257798375 0.0630181371223792 -9.28785401354748 8.36141979732299e-20 *** df.mm.trans3:probe8 0.361650870485689 0.0630181371223792 5.73883784890967 1.23660828436418e-08 *** df.mm.trans3:probe9 0.712836167655733 0.0630181371223792 11.3116032971814 4.04805273883475e-28 *** df.mm.trans3:probe10 -0.39619660283797 0.0630181371223792 -6.2870249888309 4.68424948525342e-10 *** df.mm.trans3:probe11 -0.141448566617501 0.0630181371223792 -2.24456915225552 0.0249970694302452 * df.mm.trans3:probe12 2.42344379066948 0.0630181371223792 38.4562905432008 1.04639802796485e-204 *** df.mm.trans3:probe13 -0.198544531966739 0.0630181371223792 -3.15059348043202 0.00167405934321041 ** df.mm.trans3:probe14 0.184279412872502 0.0630181371223792 2.92422818711123 0.00352502109439883 ** df.mm.trans3:probe15 -0.525864082973336 0.0630181371223792 -8.34464658884036 2.15539232309547e-16 *** df.mm.trans3:probe16 -0.426807599467469 0.0630181371223792 -6.7727739815384 2.06832498034390e-11 *** df.mm.trans3:probe17 -0.610944576101415 0.0630181371223792 -9.69474192667708 2.2757653279223e-21 *** df.mm.trans3:probe18 -0.232410982654073 0.0630181371223792 -3.68800147492044 0.000237242256272962 *** df.mm.trans3:probe19 0.61714761888372 0.0630181371223792 9.79317458536165 9.33714933221464e-22 *** df.mm.trans3:probe20 -0.474645207027729 0.0630181371223792 -7.53188254527395 1.05167580996136e-13 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.06819464095623 0.283222219078946 14.3639671145372 5.89776912894145e-43 *** df.mm.trans1 0.105313697663448 0.241546911788332 0.435996870685456 0.662925891851014 df.mm.trans2 0.231376548093078 0.210398964032307 1.09970383721828 0.271705569917482 df.mm.exp2 0.0482609200793624 0.263783096471861 0.182956833568411 0.854866132274542 df.mm.exp3 -0.0320002259186404 0.263783096471861 -0.121312647954506 0.90346590620321 df.mm.exp4 -0.0586995733913009 0.263783096471861 -0.222529700259102 0.823943514343186 df.mm.exp5 -0.0362942165256063 0.263783096471861 -0.137591138367268 0.890589135038837 df.mm.exp6 -0.275830537773388 0.263783096471861 -1.04567177147688 0.295945928184704 df.mm.exp7 0.148350086140552 0.263783096471861 0.562394209957945 0.573963847915931 df.mm.exp8 -0.0327266006496254 0.263783096471861 -0.124066329826849 0.901285779224937 df.mm.trans1:exp2 0.0536962829423241 0.239823606224690 0.223899072270709 0.822878066499382 df.mm.trans2:exp2 -0.105595406114521 0.159182083638524 -0.663362381625254 0.507239665564028 df.mm.trans1:exp3 0.0615479269350202 0.239823606224690 0.256638318070140 0.79750673574762 df.mm.trans2:exp3 0.00283105540982657 0.159182083638523 0.0177850128928796 0.985813636701948 df.mm.trans1:exp4 0.194904056363713 0.239823606224690 0.812697546467163 0.416570098870215 df.mm.trans2:exp4 -0.0143414435942353 0.159182083638523 -0.0900945839281913 0.9282287120893 df.mm.trans1:exp5 0.104816804623028 0.239823606224691 0.437057912159094 0.662156480050591 df.mm.trans2:exp5 -0.146254576849838 0.159182083638523 -0.918787928307048 0.358411088385382 df.mm.trans1:exp6 0.353415789711573 0.239823606224691 1.47364888417389 0.140866740878796 df.mm.trans2:exp6 0.0735228956593038 0.159182083638524 0.46187921390866 0.644260703975639 df.mm.trans1:exp7 -0.141554717346914 0.239823606224691 -0.590245137145887 0.555149449490115 df.mm.trans2:exp7 0.0650619525771635 0.159182083638523 0.408726604715821 0.682821113171096 df.mm.trans1:exp8 0.251506140799870 0.239823606224691 1.04871303021036 0.294544187580674 df.mm.trans2:exp8 -0.168278171173381 0.159182083638523 -1.05714265906654 0.290682229577954 df.mm.trans1:probe2 0.183500590410453 0.182159105384787 1.00736435888194 0.313984725621289 df.mm.trans1:probe3 0.0803260574200954 0.182159105384787 0.440966468573818 0.659325284311377 df.mm.trans1:probe4 0.297022653909264 0.182159105384787 1.63056715326881 0.103272448197872 df.mm.trans1:probe5 -0.0198101133780894 0.182159105384787 -0.108751705473318 0.913419575347683 df.mm.trans1:probe6 0.217429254974703 0.182159105384787 1.19362276464530 0.232886960292813 df.mm.trans1:probe7 0.325272760592751 0.182159105384787 1.78565194369865 0.0744353712601726 . df.mm.trans1:probe8 -0.0663745846537144 0.182159105384787 -0.364376979748045 0.715647654002735 df.mm.trans1:probe9 0.203144049271712 0.182159105384787 1.11520117999371 0.265011619509017 df.mm.trans1:probe10 0.0262860709135955 0.182159105384787 0.144302810765730 0.885288206399677 df.mm.trans1:probe11 0.0689871632713636 0.182159105384787 0.378719269210493 0.704970572173751 df.mm.trans1:probe12 0.0208645443037163 0.182159105384787 0.114540221635601 0.908830794948249 df.mm.trans1:probe13 -0.0121831158757361 0.182159105384787 -0.066881728750264 0.946688203374685 df.mm.trans1:probe14 0.119787158467621 0.182159105384787 0.657596326105067 0.510937292791221 df.mm.trans1:probe15 0.0444701910507022 0.182159105384787 0.24412829079702 0.807177702321338 df.mm.trans1:probe16 0.266841811504734 0.182159105384787 1.46488319066492 0.143243016701345 df.mm.trans1:probe17 0.203175589666408 0.182159105384787 1.11537432749918 0.264937478320447 df.mm.trans1:probe18 0.246023330109347 0.182159105384787 1.3505958408703 0.177107068492233 df.mm.trans1:probe19 -0.142974449040076 0.182159105384787 -0.784887742712953 0.432691044545644 df.mm.trans1:probe20 -0.0106973620635102 0.182159105384787 -0.0587253765926962 0.953181680231676 df.mm.trans1:probe21 0.203876690513746 0.182159105384787 1.11922316528226 0.263293113142968 df.mm.trans1:probe22 0.228491930616906 0.182159105384787 1.25435360551561 0.209984160258604 df.mm.trans2:probe2 0.298077094155914 0.182159105384787 1.63635572060077 0.102055705699685 df.mm.trans2:probe3 0.280202870198731 0.182159105384787 1.53823147960043 0.124284127103533 df.mm.trans2:probe4 0.168245712283688 0.182159105384787 0.923619557355049 0.355890158846996 df.mm.trans2:probe5 0.148754357518186 0.182159105384787 0.81661774306567 0.414326500071038 df.mm.trans2:probe6 -0.00129811060262351 0.182159105384787 -0.00712624603574677 0.99431543885805 df.mm.trans3:probe2 0.145057692197938 0.182159105384787 0.796324135933382 0.426018180142693 df.mm.trans3:probe3 -0.113620619015264 0.182159105384787 -0.6237438352327 0.532927178585806 df.mm.trans3:probe4 -0.234611190091269 0.182159105384787 -1.28794654319192 0.198039693939275 df.mm.trans3:probe5 -0.135142530681729 0.182159105384787 -0.741892810662738 0.458313138881341 df.mm.trans3:probe6 -0.225472337927470 0.182159105384787 -1.23777692831324 0.216067058111726 df.mm.trans3:probe7 0.196208364842403 0.182159105384787 1.07712630904692 0.281663709449953 df.mm.trans3:probe8 -0.0502088704679026 0.182159105384787 -0.275631955711701 0.782883344353388 df.mm.trans3:probe9 -0.0432883564801279 0.182159105384787 -0.237640366034336 0.812204988106766 df.mm.trans3:probe10 -0.231598635292778 0.182159105384787 -1.27140850194426 0.203856341136637 df.mm.trans3:probe11 0.0876369566203377 0.182159105384787 0.481101158436282 0.630541786868658 df.mm.trans3:probe12 -0.17606616410749 0.182159105384787 -0.966551541497603 0.333984054235854 df.mm.trans3:probe13 -0.206751721780512 0.182159105384787 -1.13500624272268 0.256623837446557 df.mm.trans3:probe14 -0.143648701466976 0.182159105384787 -0.78858919055151 0.430524733682222 df.mm.trans3:probe15 -0.114981498534236 0.182159105384787 -0.631214664187954 0.528033367853201 df.mm.trans3:probe16 -0.33970373135628 0.182159105384787 -1.86487373573065 0.0624694102769417 . df.mm.trans3:probe17 -0.102845885535771 0.182159105384787 -0.564593712285329 0.57246705799382 df.mm.trans3:probe18 -0.02058933642673 0.182159105384787 -0.113029411202025 0.910028185321821 df.mm.trans3:probe19 -0.0790427324690404 0.182159105384787 -0.433921391423576 0.664431950329966 df.mm.trans3:probe20 -0.114897059367405 0.182159105384787 -0.63075111795647 0.52833634792237