chr1.295_chr1_172555951_172556258_-_0.R fitVsDatCorrelation=0.769062007000027 cont.fitVsDatCorrelation=0.247764555098408 fstatistic=8642.04000168947,37,347 cont.fstatistic=3756.26614073292,37,347 residuals=-0.438628880862115,-0.0797612744742447,-0.00618701246549117,0.073885282427734,0.832622556904958 cont.residuals=-0.46450339928733,-0.136281457165865,-0.0201091061040552,0.0979885411742898,1.20517010197097 predictedValues: Include Exclude Both chr1.295_chr1_172555951_172556258_-_0.R.tl.Lung 46.2312706214637 55.4336835936499 63.2622656481815 chr1.295_chr1_172555951_172556258_-_0.R.tl.cerebhem 45.5729715325860 74.3379570986286 74.944755191946 chr1.295_chr1_172555951_172556258_-_0.R.tl.cortex 46.8307176906827 55.5074125070343 61.8415682318338 chr1.295_chr1_172555951_172556258_-_0.R.tl.heart 49.9565877530317 51.57414406238 63.6387051687526 chr1.295_chr1_172555951_172556258_-_0.R.tl.kidney 47.9531219981994 54.8372230822127 66.1511623834838 chr1.295_chr1_172555951_172556258_-_0.R.tl.liver 51.0971492963947 53.7946401775013 60.5907179317104 chr1.295_chr1_172555951_172556258_-_0.R.tl.stomach 47.9753616308288 57.4881718540756 60.8599302658365 chr1.295_chr1_172555951_172556258_-_0.R.tl.testicle 48.3543197003461 60.1683081548591 68.0067406803923 diffExp=-9.20241297218625,-28.7649855660426,-8.67669481635166,-1.61755630934827,-6.8841010840133,-2.69749088110661,-9.5128102232468,-11.8139884545130 diffExpScore=0.987526512445634 diffExp1.5=0,-1,0,0,0,0,0,0 diffExp1.5Score=0.5 diffExp1.4=0,-1,0,0,0,0,0,0 diffExp1.4Score=0.5 diffExp1.3=0,-1,0,0,0,0,0,0 diffExp1.3Score=0.5 diffExp1.2=0,-1,0,0,0,0,0,-1 diffExp1.2Score=0.666666666666667 cont.predictedValues: Include Exclude Both Lung 50.6914155190603 57.8064088379833 53.0333446921886 cerebhem 57.595376006511 58.1664387905081 58.044270757346 cortex 55.4602706679541 55.2933211472091 51.3804102106905 heart 57.3886065906009 54.2076467848221 51.0567912328714 kidney 54.4081410474824 55.3087040242619 56.4841494516937 liver 53.7271042514877 56.1743521303011 57.355523909241 stomach 56.7684422003373 61.0639506629036 55.6655328908427 testicle 56.319058230358 56.578294460083 56.7202979928897 cont.diffExp=-7.11499331892306,-0.571062783997128,0.166949520744993,3.18095980577875,-0.900562976779483,-2.4472478788134,-4.29550846256629,-0.259236229724955 cont.diffExpScore=1.43017496455627 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=-0.618196448295089 cont.tran.correlation=0.0341281159231377 tran.covariance=-0.00274395715610548 cont.tran.covariance=2.93436838439019e-05 tran.mean=52.9445650471172 cont.tran.mean=56.0598457094915 weightedLogRatios: wLogRatio Lung -0.71240421067275 cerebhem -1.9885275941512 cortex -0.66827020075336 heart -0.125140880006984 kidney -0.52816986020358 liver -0.203694478982765 stomach -0.716535916902732 testicle -0.871705117935911 cont.weightedLogRatios: wLogRatio Lung -0.524246429926178 cerebhem -0.0400409403537966 cortex 0.0121018651448228 heart 0.229311775877613 kidney -0.0657435127376308 liver -0.178446376657841 stomach -0.297267930400692 testicle -0.0185227885202531 varWeightedLogRatios=0.327397051076076 cont.varWeightedLogRatios=0.0509450863097022 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 3.61157202227896 0.0757264423205887 47.6923504076598 1.94596030645082e-154 *** df.mm.trans1 0.211263066451519 0.0630905185311944 3.34857077370607 0.000901475747900636 *** df.mm.trans2 0.393299115758458 0.0630905185311944 6.23388624653632 1.32061995687403e-09 *** df.mm.exp2 0.109630444138507 0.0869254809627694 1.26120031691815 0.208083921891619 df.mm.exp3 0.0369253491778823 0.0869254809627694 0.424793153502339 0.671250743820568 df.mm.exp4 -0.000601817294010383 0.0869254809627694 -0.00692337030919789 0.99447997237083 df.mm.exp5 -0.0189041433923326 0.0869254809627694 -0.217475280929758 0.827965788488942 df.mm.exp6 0.113206027838323 0.0869254809627694 1.30233421298882 0.193665891540844 df.mm.exp7 0.112136994465306 0.0869254809627694 1.29003593909747 0.197897218402650 df.mm.exp8 0.0545396969769086 0.0869254809627694 0.627430488423392 0.530789728045821 df.mm.trans1:exp2 -0.123972055304582 0.0734654400800072 -1.68748809194597 0.092408135185175 . df.mm.trans2:exp2 0.183803823742132 0.0734654400800072 2.50190870077088 0.0128123337291464 * df.mm.trans1:exp3 -0.0240424230571293 0.0734654400800072 -0.327261676115273 0.743667311517246 df.mm.trans2:exp3 -0.0355961947557564 0.0734654400800072 -0.484529796826788 0.628315616262542 df.mm.trans1:exp4 0.078099778235579 0.0734654400800072 1.06308188109300 0.288484074582869 df.mm.trans2:exp4 -0.071565135962848 0.0734654400800072 -0.974133359643805 0.330668906284509 df.mm.trans1:exp5 0.0554716296494942 0.0734654400800072 0.755071086337782 0.450718507803528 df.mm.trans2:exp5 0.00808594398582526 0.0734654400800072 0.110064596047057 0.912421772406828 df.mm.trans1:exp6 -0.0131337413523731 0.0734654400800072 -0.178774418802499 0.858219164677564 df.mm.trans2:exp6 -0.143219606684386 0.0734654400800072 -1.94948272995320 0.0520430642445889 . df.mm.trans1:exp7 -0.0751058371026188 0.0734654400800072 -1.02232882591903 0.307337486697758 df.mm.trans2:exp7 -0.0757451908056052 0.0734654400800072 -1.03103160782968 0.303244081021663 df.mm.trans1:exp8 -0.00964055916973034 0.0734654400800072 -0.131225773087745 0.895672756044127 df.mm.trans2:exp8 0.0274186580105913 0.0734654400800072 0.37321845456491 0.709213752670599 df.mm.trans1:probe2 0.0235420372296588 0.0402386787288641 0.585059896928763 0.558887684597272 df.mm.trans1:probe3 -0.0228669463275490 0.0402386787288641 -0.568282733178962 0.570210557246776 df.mm.trans1:probe4 0.0465162334759720 0.0402386787288641 1.15600797405420 0.248473191589570 df.mm.trans1:probe5 0.0024589195173699 0.0402386787288641 0.0611083563140472 0.951308094683166 df.mm.trans1:probe6 0.0585630928423572 0.0402386787288641 1.45539303705687 0.146464548029588 df.mm.trans2:probe2 0.0379177019626368 0.0402386787288641 0.942319757021187 0.346684532605601 df.mm.trans2:probe3 -0.0330545485250480 0.0402386787288641 -0.82146207502925 0.411947145910399 df.mm.trans2:probe4 0.0281025630253207 0.0402386787288641 0.698396764334166 0.485396869566207 df.mm.trans2:probe5 -0.0312614486771061 0.0402386787288641 -0.776900476473189 0.437746767120977 df.mm.trans2:probe6 0.101458512814036 0.0402386787288641 2.52141760164848 0.0121355910723423 * df.mm.trans3:probe2 0.121240335909266 0.0402386787288641 3.01302974499253 0.00277659788730517 ** df.mm.trans3:probe3 -0.179674177276139 0.0402386787288641 -4.46521066178186 1.08332941304688e-05 *** df.mm.trans3:probe4 -0.216946848195488 0.0402386787288641 -5.39150029396635 1.29423562016218e-07 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.03951466525159 0.114781408945025 35.1931092533141 1.58656083908387e-116 *** df.mm.trans1 -0.130301538968689 0.0956286653138309 -1.36257824514302 0.173899138826514 df.mm.trans2 0.0399525051995121 0.0956286653138309 0.417787962096902 0.676360553459279 df.mm.exp2 0.0436094484973949 0.131756211864425 0.33098590100836 0.740854913301567 df.mm.exp3 0.0771267060706693 0.131756211864425 0.585374343867989 0.558676516349361 df.mm.exp4 0.097793843153376 0.131756211864424 0.742233263764479 0.458448129943379 df.mm.exp5 -0.0364513365719214 0.131756211864425 -0.276657442226931 0.782207869086945 df.mm.exp6 -0.0488266297367161 0.131756211864424 -0.370583132634066 0.711174160858964 df.mm.exp7 0.119605741157356 0.131756211864424 0.907780661456997 0.364624111893206 df.mm.exp8 0.0165909102049616 0.131756211864424 0.125921275135273 0.899867167207884 df.mm.trans1:exp2 0.0840762612069406 0.111354323044130 0.755033652116234 0.450740938593185 df.mm.trans2:exp2 -0.0374005622539245 0.111354323044130 -0.335869872237492 0.73717198700579 df.mm.trans1:exp3 0.0127836374121990 0.111354323044130 0.114801446973305 0.908668901495873 df.mm.trans2:exp3 -0.121574228832635 0.111354323044130 -1.09177825798873 0.275688033631277 df.mm.trans1:exp4 0.0262953719068164 0.111354323044130 0.236141455382881 0.813462227739488 df.mm.trans2:exp4 -0.162071509149990 0.111354323044130 -1.45545772017993 0.146446661754638 df.mm.trans1:exp5 0.107208553734920 0.111354323044130 0.962769570180337 0.336333604951981 df.mm.trans2:exp5 -0.00771801990641412 0.111354323044130 -0.0693104649682566 0.94478241956262 df.mm.trans1:exp6 0.106987661470068 0.111354323044130 0.960785881906612 0.337328838472757 df.mm.trans2:exp6 0.0201872655991183 0.111354323044130 0.181288566507813 0.856246924227354 df.mm.trans1:exp7 -0.0063817420052103 0.111354323044130 -0.0573102312577589 0.954331056885837 df.mm.trans2:exp7 -0.064783703700213 0.111354323044130 -0.581779871038675 0.561092718810203 df.mm.trans1:exp8 0.0886855026325605 0.111354323044130 0.796426220447804 0.426328881313138 df.mm.trans2:exp8 -0.0380651377330334 0.111354323044130 -0.341837987896959 0.732679748210131 df.mm.trans1:probe2 0.117174926554723 0.0609912746069875 1.92117523874963 0.0555286049322274 . df.mm.trans1:probe3 0.0415005184313442 0.0609912746069875 0.680433696438764 0.496683631960079 df.mm.trans1:probe4 0.0234026912434994 0.0609912746069875 0.383705561070834 0.701431681710177 df.mm.trans1:probe5 -0.0182875478169507 0.0609912746069875 -0.299838754556141 0.764479682208442 df.mm.trans1:probe6 0.00164391986186739 0.0609912746069875 0.0269533613202938 0.978512426794839 df.mm.trans2:probe2 -0.0254802372533658 0.0609912746069875 -0.417768564725923 0.676374723457035 df.mm.trans2:probe3 -0.0384113635194738 0.0609912746069875 -0.629784567825267 0.529249997500545 df.mm.trans2:probe4 -0.0710183101314955 0.0609912746069875 -1.16440114736279 0.245061402557746 df.mm.trans2:probe5 -0.0467959317660054 0.0609912746069875 -0.767256170125099 0.443450948069326 df.mm.trans2:probe6 -0.0419693710253202 0.0609912746069875 -0.688120904108995 0.491836387662573 df.mm.trans3:probe2 0.0248946760524493 0.0609912746069875 0.408167827494413 0.683402207783997 df.mm.trans3:probe3 0.0384262752293292 0.0609912746069875 0.630029057056743 0.529090215548076 df.mm.trans3:probe4 0.023699966224288 0.0609912746069875 0.388579618593064 0.697825454036275