chr15.8739_chr15_76691467_76691939_-_2.R fitVsDatCorrelation=0.908009075881312 cont.fitVsDatCorrelation=0.238098660454591 fstatistic=6266.01124158612,69,1083 cont.fstatistic=1153.12827969556,69,1083 residuals=-1.04173378368027,-0.127026279116517,0.00732597528344264,0.127398315296587,1.22204391267358 cont.residuals=-0.870310637974726,-0.358237233592785,-0.120751919031126,0.246054794821034,2.73905610750738 predictedValues: Include Exclude Both chr15.8739_chr15_76691467_76691939_-_2.R.tl.Lung 189.854755746233 98.7843001414835 88.4088330347251 chr15.8739_chr15_76691467_76691939_-_2.R.tl.cerebhem 184.592004150958 54.3591808790424 61.7563046761502 chr15.8739_chr15_76691467_76691939_-_2.R.tl.cortex 237.204954995411 59.458260649929 87.3566847546422 chr15.8739_chr15_76691467_76691939_-_2.R.tl.heart 255.496421791777 81.9458275922827 115.283868195331 chr15.8739_chr15_76691467_76691939_-_2.R.tl.kidney 170.608271183104 58.1704538892837 60.0497937176162 chr15.8739_chr15_76691467_76691939_-_2.R.tl.liver 185.360085762231 56.9891707061302 62.7652506004651 chr15.8739_chr15_76691467_76691939_-_2.R.tl.stomach 381.850577507901 91.3228563198221 94.5891013578865 chr15.8739_chr15_76691467_76691939_-_2.R.tl.testicle 184.062763805041 92.861511986718 85.8394551656265 diffExp=91.07045560475,130.232823271916,177.746694345482,173.550594199494,112.437817293820,128.370915056101,290.527721188079,91.2012518183235 diffExpScore=0.999163976253617 diffExp1.5=1,1,1,1,1,1,1,1 diffExp1.5Score=0.888888888888889 diffExp1.4=1,1,1,1,1,1,1,1 diffExp1.4Score=0.888888888888889 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 74.5543310403221 79.9527573566454 91.2728517449753 cerebhem 66.6496204941595 97.432833286921 91.183468086166 cortex 97.3081863683308 84.1684459366387 90.5368256015213 heart 86.9675561331763 89.3732678825584 84.75860385401 kidney 85.3434845809232 74.9446874756825 93.040571908002 liver 88.128169867047 88.2472912860982 86.9250611385774 stomach 77.1187290981285 99.8937408765616 82.8455890918833 testicle 76.1465637262555 98.7092992575326 96.1859964479478 cont.diffExp=-5.3984263163233,-30.7832127927616,13.1397404316921,-2.40571174938214,10.3987971052407,-0.119121419051126,-22.7750117784331,-22.5627355312771 cont.diffExpScore=1.74915151800425 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=0,-1,0,0,0,0,0,0 cont.diffExp1.4Score=0.5 cont.diffExp1.3=0,-1,0,0,0,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,-1,0,0,0,0,-1,-1 cont.diffExp1.2Score=0.75 tran.correlation=0.374635340277124 cont.tran.correlation=-0.476278932865018 tran.covariance=0.0268561348540163 cont.tran.covariance=-0.00577982321453823 tran.mean=148.932587319209 cont.tran.mean=85.3086852916863 weightedLogRatios: wLogRatio Lung 3.21407562251217 cerebhem 5.63207060629146 cortex 6.60983376746382 heart 5.65690444233104 kidney 4.95104399825149 liver 5.46384684263269 stomach 7.4817784845033 testicle 3.33408050204346 cont.weightedLogRatios: wLogRatio Lung -0.303852961322162 cerebhem -1.66668060826365 cortex 0.653559916725967 heart -0.122221053260384 kidney 0.569333027343504 liver -0.00605073536504856 stomach -1.15788409963907 testicle -1.15808358074643 varWeightedLogRatios=2.15394463505619 cont.varWeightedLogRatios=0.720678140151621 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.46488844333727 0.106401033961989 51.3612343775677 1.58359494380345e-292 *** df.mm.trans1 -0.0231840345434400 0.0878871411780139 -0.263793249304596 0.791989420961253 df.mm.trans2 -0.87435556681045 0.0799932987319251 -10.9303601760518 1.87470705505606e-26 *** df.mm.exp2 -0.266660680124666 0.101483329234866 -2.62763039146582 0.00871972426561929 ** df.mm.exp3 -0.273026578107406 0.101483329234866 -2.69035890097311 0.00724733216689341 ** df.mm.exp4 -0.155356848467517 0.101483329234866 -1.53086077919231 0.126095834854243 df.mm.exp5 -0.249652573060385 0.101483329234866 -2.46003530769676 0.0140476635393868 * df.mm.exp6 -0.231466118165596 0.101483329234866 -2.28082897861881 0.0227521206742155 * df.mm.exp7 0.552662074052544 0.101483329234866 5.44584098905054 6.37837742176816e-08 *** df.mm.exp8 -0.0633188164382085 0.101483329234866 -0.623933181100788 0.532802863269874 df.mm.trans1:exp2 0.238549350413075 0.0852630508730642 2.79780453514637 0.00523632018512052 ** df.mm.trans2:exp2 -0.330664485832652 0.0651207307681145 -5.0777146068907 4.49473789684647e-07 *** df.mm.trans1:exp3 0.495691798154407 0.0852630508730642 5.81367653489635 8.03414664071807e-09 *** df.mm.trans2:exp3 -0.234637543866753 0.0651207307681145 -3.60311595246471 0.000328705632258455 *** df.mm.trans1:exp4 0.452305916900621 0.0852630508730642 5.30482914074931 1.36698252690729e-07 *** df.mm.trans2:exp4 -0.0315234483813556 0.0651207307681145 -0.484077006039844 0.628429089872326 df.mm.trans1:exp5 0.142763353461109 0.0852630508730642 1.67438711140713 0.0943432695477864 . df.mm.trans2:exp5 -0.279908552916819 0.0651207307681145 -4.29830177909908 1.87607513735273e-05 *** df.mm.trans1:exp6 0.207507124585157 0.0852630508730642 2.43372859005578 0.0151050678470862 * df.mm.trans2:exp6 -0.318611306337978 0.0651207307681145 -4.89262486123669 1.14580099148817e-06 *** df.mm.trans1:exp7 0.146107963291636 0.0852630508730642 1.71361406606427 0.0868857930565991 . df.mm.trans2:exp7 -0.631199661415694 0.0651207307681145 -9.69276072259239 2.31676610289349e-21 *** df.mm.trans1:exp8 0.0323362871355756 0.0852630508730642 0.379253226391306 0.704574175023392 df.mm.trans2:exp8 0.00148939465387384 0.0651207307681145 0.0228712828665477 0.981757160489278 df.mm.trans1:probe2 0.13498085016315 0.0674063602534227 2.00249426991270 0.0454805386933493 * df.mm.trans1:probe3 -0.0466675974806201 0.0674063602534227 -0.692332256261388 0.488877110158587 df.mm.trans1:probe4 -0.142914647058493 0.0674063602534228 -2.12019528307398 0.0342164655992421 * df.mm.trans1:probe5 -0.19205208048197 0.0674063602534227 -2.84916853187037 0.00446637298326001 ** df.mm.trans1:probe6 0.0850135186199716 0.0674063602534227 1.26120915445297 0.207505104700876 df.mm.trans1:probe7 -1.38210565183745 0.0674063602534227 -20.5040836894508 3.33359857130658e-79 *** df.mm.trans1:probe8 -1.12622313376666 0.0674063602534227 -16.7079653838671 6.23202094154617e-56 *** df.mm.trans1:probe9 -1.45715873658078 0.0674063602534227 -21.6175258699982 1.91666501355478e-86 *** df.mm.trans1:probe10 -1.32014612186263 0.0674063602534227 -19.5848895697583 2.362186654052e-73 *** df.mm.trans1:probe11 -1.22809531434925 0.0674063602534227 -18.2192794527411 6.6739096274425e-65 *** df.mm.trans1:probe12 -1.53332412658938 0.0674063602534227 -22.7474695388484 6.07396211130029e-94 *** df.mm.trans2:probe2 -0.106028886297016 0.0674063602534227 -1.57298044128754 0.116015423370725 df.mm.trans2:probe3 0.0402182159206084 0.0674063602534227 0.596653131387053 0.550863688503357 df.mm.trans2:probe4 -0.213361137281414 0.0674063602534227 -3.16529681293065 0.00159246068761624 ** df.mm.trans2:probe5 0.200054824827316 0.0674063602534227 2.96789240770729 0.00306441914008672 ** df.mm.trans2:probe6 0.165726148217048 0.0674063602534227 2.45861292011584 0.0141031179590557 * df.mm.trans3:probe2 -0.165818598749517 0.0674063602534227 -2.45998446031059 0.0140496425927576 * df.mm.trans3:probe3 -0.269537519487511 0.0674063602534227 -3.99869564940387 6.80121679669225e-05 *** df.mm.trans3:probe4 -0.292421590637793 0.0674063602534227 -4.33818989095981 1.57076933450074e-05 *** df.mm.trans3:probe5 -0.347077241954589 0.0674063602534227 -5.14902808354743 3.10849371092701e-07 *** df.mm.trans3:probe6 -0.140028821223693 0.0674063602534227 -2.0773829160518 0.0380014551806558 * df.mm.trans3:probe7 0.0855237739542598 0.0674063602534227 1.26877899404036 0.204792529611786 df.mm.trans3:probe8 -0.263247348315629 0.0674063602534227 -3.90537847357307 9.98997607756024e-05 *** df.mm.trans3:probe9 0.122047815515984 0.0674063602534227 1.81062758851138 0.0704755396983194 . df.mm.trans3:probe10 -0.298234279991117 0.0674063602534227 -4.42442343526438 1.06464980421847e-05 *** df.mm.trans3:probe11 0.145331075809046 0.0674063602534227 2.15604395879937 0.0312999150755126 * df.mm.trans3:probe12 0.098641725067716 0.0674063602534227 1.46338898431632 0.143651132859148 df.mm.trans3:probe13 -0.0640365817784672 0.0674063602534227 -0.950008004255289 0.342320134642860 df.mm.trans3:probe14 -0.069745310081574 0.0674063602534227 -1.03469924528424 0.301040372482712 df.mm.trans3:probe15 0.109289809765762 0.0674063602534227 1.6213575299849 0.105232062223463 df.mm.trans3:probe16 0.199787101893389 0.0674063602534227 2.96392063215199 0.00310392196357276 ** df.mm.trans3:probe17 -0.163771310673581 0.0674063602534227 -2.42961213241394 0.0152767317393085 * df.mm.trans3:probe18 -0.252998401976491 0.0674063602534227 -3.75333130323773 0.000183765446026012 *** df.mm.trans3:probe19 0.086290476268968 0.0674063602534227 1.28015332595542 0.200765345144990 df.mm.trans3:probe20 0.173952710051235 0.0674063602534227 2.58065721687446 0.00999192651709331 ** df.mm.trans3:probe21 0.0987566660371681 0.0674063602534227 1.46509417903414 0.143185460786862 df.mm.trans3:probe22 -0.124806517342854 0.0674063602534227 -1.85155402062399 0.0643619441092581 . df.mm.trans3:probe23 -0.0499291742774177 0.0674063602534227 -0.740719037338653 0.459024375725888 df.mm.trans3:probe24 0.124371132060634 0.0674063602534228 1.84509490785507 0.0652966120606673 . df.mm.trans3:probe25 -0.436064821660245 0.0674063602534227 -6.46919400514736 1.48900728259313e-10 *** df.mm.trans3:probe26 -0.257270292436800 0.0674063602534227 -3.81670648688878 0.000142903758617987 *** df.mm.trans3:probe27 -0.325324090145936 0.0674063602534227 -4.8263114774754 1.59020780430596e-06 *** df.mm.trans3:probe28 -0.309460062816437 0.0674063602534227 -4.59096236101434 4.92858126791301e-06 *** df.mm.trans3:probe29 0.0833450206323272 0.0674063602534227 1.23645632725133 0.216557067934314 df.mm.trans3:probe30 -0.0588740272350007 0.0674063602534227 -0.873419466852332 0.382628103538601 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.17199639944413 0.246666479091613 16.9135117783662 3.984328800787e-57 *** df.mm.trans1 0.092020334680867 0.203746250055735 0.451641856749239 0.651617440956641 df.mm.trans2 0.210962096872210 0.185446180496484 1.13759202970595 0.25554248912343 df.mm.exp2 0.0866283228705657 0.235265904632111 0.368214523077739 0.71278523920009 df.mm.exp3 0.325835868683256 0.235265904632111 1.38496850698689 0.166347317782705 df.mm.exp4 0.339438818767536 0.235265904632111 1.44278797770685 0.149369356968958 df.mm.exp5 0.0512881233890935 0.235265904632111 0.218000663841594 0.827469662029998 df.mm.exp6 0.314778179757446 0.235265904632111 1.33796769340491 0.181187831895023 df.mm.exp7 0.353364026356768 0.235265904632111 1.50197720706419 0.133394497148171 df.mm.exp8 0.179444661344904 0.235265904632111 0.762731266247459 0.445789774301391 df.mm.trans1:exp2 -0.198707105575392 0.197662896424307 -1.00528277774926 0.314985257042874 df.mm.trans2:exp2 0.111099001176377 0.150967530824767 0.735913216367915 0.461942867218637 df.mm.trans1:exp3 -0.0594808829952786 0.197662896424307 -0.300920830723819 0.763532626341897 df.mm.trans2:exp3 -0.274451696216779 0.150967530824767 -1.81795181200482 0.0693476761257574 . df.mm.trans1:exp4 -0.185431822975855 0.197662896424307 -0.938121551036083 0.348391110441064 df.mm.trans2:exp4 -0.228053125474813 0.150967530824767 -1.51061042218092 0.131179439354661 df.mm.trans1:exp5 0.0838678499776605 0.197662896424307 0.424297384561381 0.671433214566116 df.mm.trans2:exp5 -0.115973709462801 0.150967530824767 -0.76820299589728 0.442534062661485 df.mm.trans1:exp6 -0.147514084451624 0.197662896424307 -0.746291221671506 0.455653475646268 df.mm.trans2:exp6 -0.216071105255683 0.150967530824767 -1.43124222854571 0.152649298195186 df.mm.trans1:exp7 -0.319545991029203 0.197662896424307 -1.61662100884761 0.106251339526923 df.mm.trans2:exp7 -0.130692923752005 0.150967530824767 -0.865702201248193 0.386845222721050 df.mm.trans1:exp8 -0.158312843389709 0.197662896424307 -0.800923421914611 0.423351649928341 df.mm.trans2:exp8 0.0312985708592596 0.150967530824767 0.207319883211105 0.83579902172898 df.mm.trans1:probe2 0.189013204606528 0.156266240401691 1.20955878966986 0.226712205061306 df.mm.trans1:probe3 0.369630984983351 0.156266240401690 2.36539244838294 0.0181864079000168 * df.mm.trans1:probe4 0.0769327756262254 0.156266240401691 0.492318593116886 0.622593921475274 df.mm.trans1:probe5 0.224834538310630 0.156266240401690 1.43879149925590 0.150498535699593 df.mm.trans1:probe6 0.126210949206083 0.156266240401691 0.807666127255963 0.419460163025082 df.mm.trans1:probe7 0.253695409282823 0.156266240401691 1.62348187702402 0.104777443961124 df.mm.trans1:probe8 0.0925879182781294 0.156266240401691 0.592501093263185 0.553638773443453 df.mm.trans1:probe9 0.206729295659284 0.156266240401691 1.32292998876709 0.186137916386462 df.mm.trans1:probe10 0.27496604328873 0.156266240401691 1.75959978676082 0.0787580002683894 . df.mm.trans1:probe11 0.130127430192600 0.156266240401691 0.83272900057044 0.405181179210061 df.mm.trans1:probe12 0.0507503000091181 0.156266240401691 0.32476816411953 0.745419262296928 df.mm.trans2:probe2 -0.074088658797455 0.156266240401691 -0.474118137142138 0.63551123667508 df.mm.trans2:probe3 -0.0484060084414649 0.156266240401691 -0.309766257363297 0.756798305028512 df.mm.trans2:probe4 -0.0276725302998076 0.156266240401691 -0.177085787875064 0.859474117056206 df.mm.trans2:probe5 0.062123201097025 0.156266240401691 0.397547166536637 0.691042353216251 df.mm.trans2:probe6 0.0332315082043711 0.156266240401691 0.212659548978383 0.831632539948627 df.mm.trans3:probe2 0.186025975494007 0.156266240401691 1.19044251026849 0.234133383920556 df.mm.trans3:probe3 0.181780050340001 0.156266240401691 1.16327141340782 0.24497563623773 df.mm.trans3:probe4 -0.00580056387252473 0.156266240401691 -0.0371197506103307 0.970396364943553 df.mm.trans3:probe5 0.181937724935188 0.156266240401691 1.16428042594170 0.244566799355341 df.mm.trans3:probe6 0.054526230917481 0.156266240401691 0.348931610418978 0.72720847908834 df.mm.trans3:probe7 -0.136730396858016 0.156266240401691 -0.874983595346909 0.381776833197332 df.mm.trans3:probe8 -0.0165847148361718 0.156266240401691 -0.106131143832090 0.915497955997948 df.mm.trans3:probe9 0.0871833136998848 0.156266240401691 0.557915218768786 0.577017585575504 df.mm.trans3:probe10 -0.0752186799848714 0.156266240401691 -0.481349521121887 0.63036534623165 df.mm.trans3:probe11 0.115827568471375 0.156266240401691 0.74121939693202 0.458721111855804 df.mm.trans3:probe12 -0.122644552523764 0.156266240401691 -0.78484356063408 0.432716940668393 df.mm.trans3:probe13 -0.0232723540213564 0.156266240401691 -0.148927586416193 0.88163849910766 df.mm.trans3:probe14 0.151958143249694 0.156266240401691 0.97243104370514 0.331053290050502 df.mm.trans3:probe15 0.173462967375711 0.156266240401691 1.11004761444196 0.26722491515747 df.mm.trans3:probe16 -0.0144958758426203 0.156266240401691 -0.092763963638966 0.92610823704587 df.mm.trans3:probe17 -0.138793657980196 0.156266240401691 -0.888187094176063 0.374637335820043 df.mm.trans3:probe18 0.0169766530890125 0.156266240401691 0.108639287957355 0.913508722177777 df.mm.trans3:probe19 -0.150687860039891 0.156266240401691 -0.964302076075674 0.335109766799453 df.mm.trans3:probe20 0.0346402553440015 0.156266240401691 0.221674593661158 0.824608999957378 df.mm.trans3:probe21 -0.0268725027754027 0.156266240401691 -0.171966143847357 0.863496273363778 df.mm.trans3:probe22 0.297735521025049 0.156266240401691 1.90530929943476 0.0570045059233356 . df.mm.trans3:probe23 0.0338490619689427 0.156266240401691 0.216611482313339 0.828551931529383 df.mm.trans3:probe24 0.104757833739827 0.156266240401691 0.670380457548227 0.502758212288006 df.mm.trans3:probe25 0.0597281709173422 0.156266240401690 0.382220566411579 0.702372758415124 df.mm.trans3:probe26 -0.110288632449295 0.156266240401691 -0.705773890545981 0.480480543938526 df.mm.trans3:probe27 0.0886145820844804 0.156266240401691 0.567074384439608 0.570781158971639 df.mm.trans3:probe28 -0.0502285811060265 0.156266240401691 -0.321429510154665 0.747946945124369 df.mm.trans3:probe29 0.134993001997531 0.156266240401691 0.863865423846664 0.387853102374082 df.mm.trans3:probe30 0.133858123488657 0.156266240401691 0.856602956240374 0.391853846171614