chr2.13669_chr2_179828825_179831641_+_2.R fitVsDatCorrelation=0.869210358345918 cont.fitVsDatCorrelation=0.229768367266190 fstatistic=15284.0011268510,69,1083 cont.fstatistic=3933.14568374286,69,1083 residuals=-0.383280788436878,-0.0875382682880013,-0.00187441722738051,0.0801193320009962,0.868858076304253 cont.residuals=-0.553458927291648,-0.16808083874284,-0.0394983273667346,0.109382136777445,1.46110859653919 predictedValues: Include Exclude Both chr2.13669_chr2_179828825_179831641_+_2.R.tl.Lung 50.6754836488762 54.0981778697456 69.2519888110048 chr2.13669_chr2_179828825_179831641_+_2.R.tl.cerebhem 57.6455725074535 47.4226130721755 68.6528402560681 chr2.13669_chr2_179828825_179831641_+_2.R.tl.cortex 49.6410784030034 57.8765583804613 72.4524954391221 chr2.13669_chr2_179828825_179831641_+_2.R.tl.heart 51.6859654208782 60.1369339335169 70.2431058290538 chr2.13669_chr2_179828825_179831641_+_2.R.tl.kidney 51.4163234329188 54.6747519287481 67.8273739414054 chr2.13669_chr2_179828825_179831641_+_2.R.tl.liver 56.6284484731569 57.7673738956081 63.6397417846413 chr2.13669_chr2_179828825_179831641_+_2.R.tl.stomach 52.594868730147 50.7261790570893 67.230818271119 chr2.13669_chr2_179828825_179831641_+_2.R.tl.testicle 54.6682070560152 51.3511600510026 71.4155239618635 diffExp=-3.42269422086941,10.222959435278,-8.23547997745788,-8.45096851263872,-3.25842849582929,-1.13892542245118,1.86868967305769,3.3170470050126 diffExpScore=3.95286009856815 diffExp1.5=0,0,0,0,0,0,0,0 diffExp1.5Score=0 diffExp1.4=0,0,0,0,0,0,0,0 diffExp1.4Score=0 diffExp1.3=0,0,0,0,0,0,0,0 diffExp1.3Score=0 diffExp1.2=0,1,0,0,0,0,0,0 diffExp1.2Score=0.5 cont.predictedValues: Include Exclude Both Lung 60.4785896147581 62.322416380372 59.0629486950072 cerebhem 57.4977715014002 58.982373968615 59.5878335694554 cortex 61.3085951724517 55.8182016466338 59.9658418736589 heart 62.438075728145 58.7855508767616 59.6908044209541 kidney 62.3234027502643 59.4735481661469 63.5639248560675 liver 62.2867655787898 59.4069514454427 62.4048103056941 stomach 58.3002264571978 67.9983700872588 58.791282546668 testicle 60.1723139445833 59.1346504202592 60.709395715784 cont.diffExp=-1.84382676561392,-1.48460246721483,5.49039352581796,3.65252485138335,2.84985458411741,2.87981413334703,-9.698143630061,1.03766352432416 cont.diffExpScore=7.4508816897664 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=-0.492716472128359 cont.tran.correlation=-0.470245605565542 tran.covariance=-0.00217732742396768 cont.tran.covariance=-0.000839750360815126 tran.mean=53.6881059912998 cont.tran.mean=60.4204877336925 weightedLogRatios: wLogRatio Lung -0.258695957623657 cerebhem 0.772405496210286 cortex -0.611145445360517 heart -0.608917490956947 kidney -0.243983646955979 liver -0.0805759730217507 stomach 0.142699036917271 testicle 0.248500370235343 cont.weightedLogRatios: wLogRatio Lung -0.123649936052800 cerebhem -0.103613920328941 cortex 0.381754673195821 heart 0.247387930029472 kidney 0.192320134855532 liver 0.194467168525755 stomach -0.637445514506068 testicle 0.071120903544998 varWeightedLogRatios=0.214970697694019 cont.varWeightedLogRatios=0.101854655134487 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.74142176682318 0.0608720062610336 61.4637498685204 0 *** df.mm.trans1 0.166716756197955 0.0519148715610274 3.21134871733188 0.00136002055297475 ** df.mm.trans2 0.230808644855729 0.0452203471095592 5.10408830557025 3.92379204862767e-07 *** df.mm.exp2 0.0058592468815781 0.0566940205193229 0.103348586463031 0.917705449373985 df.mm.exp3 0.00170913452225427 0.0566940205193229 0.0301466452122892 0.975955654525146 df.mm.exp4 0.111357434180191 0.0566940205193229 1.96418305070174 0.0497643094887291 * df.mm.exp5 0.045900992023284 0.0566940205193229 0.809626687308931 0.418332609480868 df.mm.exp6 0.261206609966681 0.0566940205193229 4.60730439601923 4.5636479879594e-06 *** df.mm.exp7 0.00243806726257569 0.0566940205193229 0.0430039577409179 0.965706305985804 df.mm.exp8 -0.00703630133484893 0.0566940205193229 -0.124110113736788 0.901251120891014 df.mm.trans1:exp2 0.123011960936200 0.0515444872479577 2.38652021785460 0.0171795856997259 * df.mm.trans2:exp2 -0.137560567412745 0.0342124739485486 -4.02077229549722 6.2026976702437e-05 *** df.mm.trans1:exp3 -0.0223326863697883 0.0515444872479577 -0.433270123773968 0.664904818771489 df.mm.trans2:exp3 0.0658027996776828 0.0342124739485486 1.92335695385964 0.0546971597215692 . df.mm.trans1:exp4 -0.0916133878210832 0.0515444872479577 -1.77736539274068 0.0757887291582854 . df.mm.trans2:exp4 -0.00553374457332763 0.0342124739485486 -0.161746402252281 0.871535731546898 df.mm.trans1:exp5 -0.0313875298872462 0.0515444872479577 -0.608940578577388 0.54269153295869 df.mm.trans2:exp5 -0.0352994671720368 0.0342124739485486 -1.03177183927485 0.302409367604223 df.mm.trans1:exp6 -0.150137364253888 0.0515444872479577 -2.91277248586535 0.00365588819090842 ** df.mm.trans2:exp6 -0.195582963637052 0.0342124739485486 -5.71671501836391 1.40340927766082e-08 *** df.mm.trans1:exp7 0.0347382586394510 0.0515444872479577 0.673947118192108 0.500488748097442 df.mm.trans2:exp7 -0.0667964422227184 0.0342124739485486 -1.95240023633404 0.0511480669716187 . df.mm.trans1:exp8 0.082876381523621 0.0515444872479577 1.60786120783275 0.108157048238015 df.mm.trans2:exp8 -0.0450766759885473 0.0342124739485486 -1.31755090427945 0.187932684768712 df.mm.trans1:probe2 -0.0424546329754995 0.0391508485441116 -1.08438602365580 0.278435016180669 df.mm.trans1:probe3 -0.0650742204383515 0.0391508485441116 -1.66214074172701 0.0967739419043428 . df.mm.trans1:probe4 0.483777104294536 0.0391508485441116 12.3567463358926 6.58014663382059e-33 *** df.mm.trans1:probe5 0.0392245295562845 0.0391508485441116 1.00188197740056 0.316624392693233 df.mm.trans1:probe6 0.0413810614625426 0.0391508485441116 1.05696461255286 0.290763445706016 df.mm.trans1:probe7 -0.186634914523872 0.0391508485441116 -4.76707201667899 2.12401227885901e-06 *** df.mm.trans1:probe8 -0.0313302962478254 0.0391508485441116 -0.800245650168355 0.423743986293379 df.mm.trans1:probe9 0.00936768455303906 0.0391508485441116 0.23927155863517 0.810940290586523 df.mm.trans1:probe10 0.0292567768808928 0.0391508485441116 0.747283340434601 0.455054758455693 df.mm.trans1:probe11 0.236640693227316 0.0391508485441116 6.0443311454844 2.06147674889071e-09 *** df.mm.trans1:probe12 0.161021788502969 0.0391508485441116 4.11285564657799 4.20375635686672e-05 *** df.mm.trans1:probe13 0.0604597462605918 0.0391508485441116 1.54427677838122 0.122813433908074 df.mm.trans1:probe14 0.0468126358177087 0.0391508485441116 1.19569913701780 0.23207572397611 df.mm.trans1:probe15 -0.0154823687752918 0.0391508485441116 -0.39545423282072 0.692585573231413 df.mm.trans1:probe16 0.123091506710924 0.0391508485441116 3.14403164396899 0.00171170402555579 ** df.mm.trans1:probe17 -0.132182311746498 0.0391508485441116 -3.37623108213266 0.000760952393216242 *** df.mm.trans1:probe18 -0.0730966893580151 0.0391508485441116 -1.86705249250617 0.0621642715764826 . df.mm.trans1:probe19 0.124031443150693 0.0391508485441116 3.16803971722211 0.0015776504139667 ** df.mm.trans1:probe20 -0.0420174612770102 0.0391508485441116 -1.07321968334016 0.283411632535804 df.mm.trans1:probe21 0.0845756991499083 0.0391508485441116 2.16025200717211 0.0309719913502637 * df.mm.trans1:probe22 -0.124611811293376 0.0391508485441116 -3.18286361413023 0.00149978347350890 ** df.mm.trans2:probe2 0.126648807323631 0.0391508485441116 3.23489303637787 0.00125368943669222 ** df.mm.trans2:probe3 0.116065134137998 0.0391508485441116 2.96456241573478 0.00309750752510447 ** df.mm.trans2:probe4 0.0463352262045178 0.0391508485441116 1.18350503060774 0.236868767283809 df.mm.trans2:probe5 0.130798246671996 0.0391508485441116 3.34087897289441 0.000863636674172362 *** df.mm.trans2:probe6 0.0629749991191034 0.0391508485441116 1.60852194680146 0.108012365170524 df.mm.trans3:probe2 0.0820213703692871 0.0391508485441116 2.09500875254014 0.0364020435838785 * df.mm.trans3:probe3 0.115264385192579 0.0391508485441116 2.94410950155294 0.00330799347948342 ** df.mm.trans3:probe4 0.653326099578889 0.0391508485441116 16.6874058640844 8.1962955774498e-56 *** df.mm.trans3:probe5 -0.0684868395942028 0.0391508485441116 -1.74930664700761 0.0805212798552235 . df.mm.trans3:probe6 -0.150967913105407 0.0391508485441116 -3.8560572431862 0.000122019308866721 *** df.mm.trans3:probe7 0.0666971489207841 0.0391508485441116 1.70359395520217 0.0887438549816148 . df.mm.trans3:probe8 -0.207434770886944 0.0391508485441116 -5.29834674344862 1.41512901915278e-07 *** df.mm.trans3:probe9 -0.0502514338841472 0.0391508485441116 -1.28353371006834 0.199579719459560 df.mm.trans3:probe10 0.148663582076521 0.0391508485441116 3.79719948876766 0.000154465267170263 *** df.mm.trans3:probe11 0.0785884757029134 0.0391508485441116 2.00732496549512 0.0449631660113313 * df.mm.trans3:probe12 0.0743155314318934 0.0391508485441116 1.89818443776925 0.0579374582412239 . df.mm.trans3:probe13 0.127624521189333 0.0391508485441116 3.25981494489288 0.00114955016202493 ** df.mm.trans3:probe14 0.606942601881405 0.0391508485441116 15.5026678718740 4.17530402602139e-49 *** df.mm.trans3:probe15 -0.0541315992842436 0.0391508485441116 -1.38264178931532 0.167059757764454 df.mm.trans3:probe16 0.0109840218440167 0.0391508485441116 0.280556418378543 0.779104230588351 df.mm.trans3:probe17 -0.231717282973277 0.0391508485441116 -5.91857626565103 4.35305602519446e-09 *** df.mm.trans3:probe18 -0.0672996123835955 0.0391508485441116 -1.71898221587122 0.0859033716605963 . df.mm.trans3:probe19 0.745874810877773 0.0391508485441116 19.0513063857962 5.14555286610125e-70 *** df.mm.trans3:probe20 0.0960808244601637 0.0391508485441116 2.45411857042916 0.0142796119585886 * cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.24233839469346 0.119818584741407 35.4063470524986 4.80083517303184e-183 *** df.mm.trans1 -0.134480881079704 0.102187636313477 -1.31601909909299 0.188446113940937 df.mm.trans2 -0.103042934532665 0.0890103403023691 -1.15765128166714 0.247261616755994 df.mm.exp2 -0.114473359085060 0.111594766119513 -1.02579505352845 0.305217257142284 df.mm.exp3 -0.111761823548010 0.111594766119512 -1.00149700057007 0.316810298341247 df.mm.exp4 -0.0371133943038855 0.111594766119512 -0.332572893823165 0.739521068727801 df.mm.exp5 -0.090184227904081 0.111594766119513 -0.808140301199235 0.419187293083126 df.mm.exp6 -0.0734889248293637 0.111594766119513 -0.658533794951106 0.510335158865445 df.mm.exp7 0.0550893412460874 0.111594766119513 0.493655241743949 0.621649774473388 df.mm.exp8 -0.0850758601921458 0.111594766119513 -0.762364250139059 0.446008638981551 df.mm.trans1:exp2 0.0639301379023633 0.101458583224408 0.630110690201156 0.528755085975123 df.mm.trans2:exp2 0.0593908374973807 0.0673427813671627 0.881918392612463 0.378016632422393 df.mm.trans1:exp3 0.125392459808447 0.101458583224408 1.23589799722613 0.216764477329393 df.mm.trans2:exp3 0.00154065956439608 0.0673427813671627 0.0228778724774699 0.98175190533088 df.mm.trans1:exp4 0.068999259803775 0.101458583224408 0.68007316494023 0.496603479367221 df.mm.trans2:exp4 -0.0213116889425125 0.0673427813671627 -0.316465826178429 0.751709945849901 df.mm.trans1:exp5 0.120231817494264 0.101458583224408 1.18503347546588 0.236264181443017 df.mm.trans2:exp5 0.0433946984043699 0.0673427813671627 0.644385300449288 0.519462068311846 df.mm.trans1:exp6 0.102948485801633 0.101458583224408 1.01468483522906 0.310482715102214 df.mm.trans2:exp6 0.0255789974866363 0.0673427813671627 0.379832804160195 0.704144001148723 df.mm.trans1:exp7 -0.0917727752917299 0.101458583224408 -0.904534366390124 0.36591328613389 df.mm.trans2:exp7 0.0320732197725592 0.0673427813671627 0.476268118444519 0.633979441939875 df.mm.trans1:exp8 0.0799987937295739 0.101458583224408 0.788487195337932 0.430584342867664 df.mm.trans2:exp8 0.0325717397586614 0.0673427813671627 0.483670841883936 0.628717266270652 df.mm.trans1:probe2 -0.0504870776378652 0.0770633260199196 -0.655137537469057 0.51251833090699 df.mm.trans1:probe3 0.0822561590967415 0.0770633260199196 1.06738397296114 0.286036354923526 df.mm.trans1:probe4 0.0114024340781048 0.0770633260199196 0.147961873267156 0.882400400112112 df.mm.trans1:probe5 0.0359382315501395 0.0770633260199196 0.466346748917248 0.641061107176281 df.mm.trans1:probe6 -0.0304811950820192 0.0770633260199196 -0.395534382647075 0.69252645135099 df.mm.trans1:probe7 0.0789512316618628 0.0770633260199196 1.02449810745847 0.305828841248689 df.mm.trans1:probe8 0.0355077459262518 0.0770633260199196 0.460760620649485 0.645062864786031 df.mm.trans1:probe9 -0.000545756627571517 0.0770633260199196 -0.00708192412342089 0.994350793571106 df.mm.trans1:probe10 -0.105832755088935 0.0770633260199196 -1.37332192308413 0.169936526778702 df.mm.trans1:probe11 0.0697888536978874 0.0770633260199196 0.905603966273765 0.365346932095415 df.mm.trans1:probe12 -0.0208721779245235 0.0770633260199196 -0.270844498966063 0.786562243259895 df.mm.trans1:probe13 -0.0181591252858728 0.0770633260199196 -0.235639002671374 0.813757356841353 df.mm.trans1:probe14 0.0345176854173578 0.0770633260199196 0.447913257837269 0.654305383406952 df.mm.trans1:probe15 0.0335057610077215 0.0770633260199196 0.434782181592588 0.663807158242007 df.mm.trans1:probe16 -0.0922497327333711 0.0770633260199196 -1.19706399266398 0.231543571801436 df.mm.trans1:probe17 -0.0789212296480744 0.0770633260199196 -1.02410879109571 0.30601258481116 df.mm.trans1:probe18 -0.0625067571191183 0.0770633260199196 -0.811108997591945 0.417481293533941 df.mm.trans1:probe19 -0.0501917489425033 0.0770633260199196 -0.651305251599568 0.514987631323752 df.mm.trans1:probe20 -0.122899828919531 0.0770633260199196 -1.59479009364018 0.111050947409697 df.mm.trans1:probe21 -0.0229478097072869 0.0770633260199196 -0.297778604849670 0.765929257855556 df.mm.trans1:probe22 0.0403668134805471 0.0770633260199196 0.52381353836341 0.60051540850915 df.mm.trans2:probe2 -0.0459671040196657 0.0770633260199196 -0.596484818314019 0.550976049992975 df.mm.trans2:probe3 0.0153222481757756 0.0770633260199196 0.198826717806276 0.84243561429789 df.mm.trans2:probe4 -0.0592170753519719 0.0770633260199196 -0.76842096507313 0.442404652388782 df.mm.trans2:probe5 -0.0173846783169448 0.0770633260199196 -0.225589514686288 0.821563259029313 df.mm.trans2:probe6 -0.0740848159732612 0.0770633260199196 -0.961349837847792 0.336590881428806 df.mm.trans3:probe2 0.104189554061240 0.0770633260199196 1.35199918615385 0.176657847008747 df.mm.trans3:probe3 0.0844429056452009 0.0770633260199196 1.09575994193884 0.273427452295449 df.mm.trans3:probe4 0.0967312062345131 0.0770633260199196 1.25521712117006 0.209670725254125 df.mm.trans3:probe5 0.0758599740004997 0.0770633260199196 0.984384893806571 0.325146163279965 df.mm.trans3:probe6 0.104397343452330 0.0770633260199196 1.35469553215682 0.175797113496157 df.mm.trans3:probe7 -0.00101879700963584 0.0770633260199196 -0.0132202574460969 0.989454502837378 df.mm.trans3:probe8 0.163125978598190 0.0770633260199196 2.1167783305385 0.0345062275513252 * df.mm.trans3:probe9 0.0686067432625614 0.0770633260199196 0.890264498119737 0.373521599175481 df.mm.trans3:probe10 0.0302980319431467 0.0770633260199196 0.393157595291373 0.694280465123001 df.mm.trans3:probe11 0.0997762039242591 0.0770633260199196 1.29473004965382 0.195689335366568 df.mm.trans3:probe12 0.00165209004936278 0.0770633260199196 0.0214380839069383 0.982900142975714 df.mm.trans3:probe13 0.148176978283662 0.0770633260199196 1.92279500427169 0.0547678087872774 . df.mm.trans3:probe14 -0.0100214265450596 0.0770633260199196 -0.130041448541544 0.896557782579678 df.mm.trans3:probe15 0.0827678817747754 0.0770633260199196 1.07402426094847 0.283051043906845 df.mm.trans3:probe16 0.0570753303071987 0.0770633260199196 0.740628950954513 0.459078988296965 df.mm.trans3:probe17 0.0571947702675457 0.0770633260199196 0.742178844613608 0.4581399131496 df.mm.trans3:probe18 0.104052156081798 0.0770633260199196 1.35021626311460 0.177228720504907 df.mm.trans3:probe19 0.101214931697183 0.0770633260199196 1.31339947189692 0.189326558197993 df.mm.trans3:probe20 0.107262605901612 0.0770633260199196 1.39187615486369 0.164245677422266