chr12.5054_chr12_107255717_107256413_+_2.R 

fitVsDatCorrelation=0.898344381163812
cont.fitVsDatCorrelation=0.224100152919473

fstatistic=9563.69385354338,57,807
cont.fstatistic=1931.88263825333,57,807

residuals=-0.593260000725897,-0.103057091615626,-0.0153832380715586,0.0924133620596857,0.650273289407409
cont.residuals=-0.709143821725805,-0.242993169455618,-0.080014325751085,0.151896152465663,1.59850831684375

predictedValues:
Include	Exclude	Both
chr12.5054_chr12_107255717_107256413_+_2.R.tl.Lung	62.232256958149	74.4457061355217	101.512642282833
chr12.5054_chr12_107255717_107256413_+_2.R.tl.cerebhem	62.3234350006837	69.5380958956335	84.1908018113543
chr12.5054_chr12_107255717_107256413_+_2.R.tl.cortex	64.644947979786	54.0593062462162	95.4116546659491
chr12.5054_chr12_107255717_107256413_+_2.R.tl.heart	58.9092373972284	54.7215350543457	99.1011683873626
chr12.5054_chr12_107255717_107256413_+_2.R.tl.kidney	63.0241510210009	75.4326720332457	105.564253712047
chr12.5054_chr12_107255717_107256413_+_2.R.tl.liver	59.8384026574477	67.3211497430941	102.065181637449
chr12.5054_chr12_107255717_107256413_+_2.R.tl.stomach	57.3239798789297	55.3376427569581	92.3105680021625
chr12.5054_chr12_107255717_107256413_+_2.R.tl.testicle	60.3175223210431	60.4272875786095	99.6278176387031


diffExp=-12.2134491773727,-7.21466089494983,10.5856417335698,4.18770234288275,-12.4085210122447,-7.48274708564644,1.98633712197157,-0.109765257566451
diffExpScore=2.37389527830151
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=0,0,0,0,0,0,0,0
diffExp1.2Score=0

cont.predictedValues:
Include	Exclude	Both
Lung	77.2895831471689	67.9280952593858	79.8317071933647
cerebhem	65.4641093785488	71.8557472336767	71.252463191793
cortex	77.6108846778815	75.1933704822818	61.9677559503552
heart	69.7265817748717	63.7572645483923	70.6285441947015
kidney	71.6512122595394	63.5262039747538	76.6114880425267
liver	70.5077630930579	63.1455776043465	75.8960119358271
stomach	70.4544014187245	74.3297109566881	69.7801021635351
testicle	67.436656881149	62.1761506055137	67.8772907083362
cont.diffExp=9.36148788778313,-6.3916378551279,2.41751419559971,5.96931722647949,8.12500828478558,7.3621854887114,-3.87530953796366,5.26050627563536
cont.diffExpScore=1.66830362623111

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=0.381307114218659
cont.tran.correlation=0.301128651379179

tran.covariance=0.00208497668985891
cont.tran.covariance=0.00135488418594884

tran.mean=62.4935830411183
cont.tran.mean=69.5033320809988

weightedLogRatios:
wLogRatio
Lung	-0.756294264392101
cerebhem	-0.458643990569682
cortex	0.729529101765818
heart	0.297847631090291
kidney	-0.760833480129938
liver	-0.489047360035999
stomach	0.142158896946369
testicle	-0.0074553273849015

cont.weightedLogRatios:
wLogRatio
Lung	0.552976412499358
cerebhem	-0.393881944700084
cortex	0.137207424415657
heart	0.375878647084627
kidney	0.506901796928056
liver	0.463240282454112
stomach	-0.229265835892351
testicle	0.338723028397926

varWeightedLogRatios=0.289917119940809
cont.varWeightedLogRatios=0.125183153560206

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.18612187238142	0.079682447358932	52.5350564789369	1.19236623711458e-262	***
df.mm.trans1	-0.0983187103881705	0.0686016384264257	-1.43318312278527	0.152192797955065	   
df.mm.trans2	0.049673006744329	0.0609278762938897	0.815275531757055	0.415155154452012	   
df.mm.exp2	0.120366386750108	0.0785284973975562	1.53277333374589	0.125723625674478	   
df.mm.exp3	-0.219969275259085	0.0785284973975562	-2.80113949138074	0.00521407898718095	** 
df.mm.exp4	-0.338646198892861	0.0785284973975562	-4.31239881209544	1.81482033640167e-05	***
df.mm.exp5	-0.01332151141889	0.0785284973975562	-0.169639199276269	0.865336407198307	   
df.mm.exp6	-0.145249760836419	0.0785284973975562	-1.8496439591997	0.0647303290720976	.  
df.mm.exp7	-0.283746423880304	0.0785284973975562	-3.61329241337469	0.00032105388984039	***
df.mm.exp8	-0.221138191548537	0.0785284973975562	-2.81602474104412	0.00498078290126883	** 
df.mm.trans1:exp2	-0.118902333885286	0.0720626914408514	-1.64998463848495	0.0993352079278408	.  
df.mm.trans2:exp2	-0.188561724965577	0.0540470185806385	-3.48884600700484	0.000511383939273916	***
df.mm.trans1:exp3	0.258005767327724	0.0720626914408514	3.58029601960528	0.000363722471290885	***
df.mm.trans2:exp3	-0.100019100002598	0.0540470185806386	-1.85059421646670	0.0645932353888608	.  
df.mm.trans1:exp4	0.283770643193383	0.0720626914408514	3.93783020755339	8.9325136757507e-05	***
df.mm.trans2:exp4	0.0308334417131522	0.0540470185806386	0.570492924917746	0.568502223538746	   
df.mm.trans1:exp5	0.0259660479588212	0.0720626914408514	0.360325814088334	0.718697783523949	   
df.mm.trans2:exp5	0.0264919256750134	0.0540470185806385	0.490164422954936	0.624150785239359	   
df.mm.trans1:exp6	0.10602393465603	0.0720626914408514	1.47127358881751	0.141606962212434	   
df.mm.trans2:exp6	0.0446541257933341	0.0540470185806386	0.826208863430826	0.408929816402944	   
df.mm.trans1:exp7	0.201591991138389	0.0720626914408514	2.79745298305788	0.00527336517514077	** 
df.mm.trans2:exp7	-0.0128702813082691	0.0540470185806386	-0.238131198468728	0.811839787331419	   
df.mm.trans1:exp8	0.189887372893451	0.0720626914408514	2.63503026457608	0.00857435050642585	** 
df.mm.trans2:exp8	0.0125088925754853	0.0540470185806386	0.231444636614356	0.817028061024051	   
df.mm.trans1:probe2	0.183355875522771	0.049337952070861	3.71632521875713	0.000216087667658701	***
df.mm.trans1:probe3	-0.086725158649631	0.049337952070861	-1.75777783652376	0.0791644146650397	.  
df.mm.trans1:probe4	0.0370174617215117	0.049337952070861	0.750283709959138	0.453302539569253	   
df.mm.trans1:probe5	-0.145478793207843	0.049337952070861	-2.94861839824444	0.00328410911536228	** 
df.mm.trans1:probe6	0.145872263878606	0.049337952070861	2.95659340843939	0.00320125759075556	** 
df.mm.trans1:probe7	-0.159372846390258	0.049337952070861	-3.23022824622637	0.00128699997506619	** 
df.mm.trans1:probe8	-0.13185270402767	0.049337952070861	-2.67243974452564	0.0076821402793763	** 
df.mm.trans1:probe9	0.113684367539676	0.049337952070861	2.30419712955248	0.0214647373512534	*  
df.mm.trans1:probe10	0.0119201591555479	0.049337952070861	0.24160222820817	0.809149771583225	   
df.mm.trans1:probe11	0.16478889647332	0.049337952070861	3.34000276778096	0.000876239870954513	***
df.mm.trans1:probe12	-0.00584212228082929	0.049337952070861	-0.118410311648903	0.90577202236866	   
df.mm.trans1:probe13	0.0327668069626492	0.049337952070861	0.664129855158729	0.506796904168889	   
df.mm.trans1:probe14	-0.0751748578482311	0.049337952070861	-1.52367203527747	0.127982416908196	   
df.mm.trans1:probe15	0.100093435930340	0.049337952070861	2.02873106258205	0.0428135656961865	*  
df.mm.trans1:probe16	0.237817211603042	0.049337952070861	4.82016787525921	1.71391434449802e-06	***
df.mm.trans1:probe17	0.373583822644803	0.049337952070861	7.57193614579398	1.00612554679452e-13	***
df.mm.trans1:probe18	0.345980108170459	0.049337952070861	7.01245377338625	4.95407592455622e-12	***
df.mm.trans1:probe19	0.0693804573461778	0.049337952070861	1.40622896642591	0.160041072488224	   
df.mm.trans1:probe20	0.0802947336073028	0.049337952070861	1.62744358525422	0.104033263624686	   
df.mm.trans2:probe2	0.332127389745148	0.049337952070861	6.73168171366607	3.1817639732833e-11	***
df.mm.trans2:probe3	-0.0854246672090219	0.049337952070861	-1.73141899133413	0.0837592380345422	.  
df.mm.trans2:probe4	0.553603348328188	0.049337952070861	11.2206389826048	2.98119617972469e-27	***
df.mm.trans2:probe5	0.04295216287282	0.049337952070861	0.870570444657503	0.38424762511405	   
df.mm.trans2:probe6	0.345145028159321	0.049337952070861	6.99552806050019	5.55197323487508e-12	***
df.mm.trans3:probe2	0.442684737472595	0.049337952070861	8.97249924027644	1.99857286560945e-18	***
df.mm.trans3:probe3	0.570518236288207	0.049337952070861	11.5634762356737	1.00497972534432e-28	***
df.mm.trans3:probe4	0.131986347076087	0.049337952070861	2.67514847163748	0.00762089553536135	** 
df.mm.trans3:probe5	0.234503908325867	0.049337952070861	4.75301260962482	2.37257301336672e-06	***
df.mm.trans3:probe6	0.448181042457333	0.049337952070861	9.08390039808785	7.9296656028104e-19	***
df.mm.trans3:probe7	1.37009231598619	0.049337952070861	27.7695416708504	1.18641878149137e-119	***
df.mm.trans3:probe8	-0.0498443113974462	0.049337952070861	-1.01026307954286	0.312672071395322	   
df.mm.trans3:probe9	0.589476945447567	0.049337952070861	11.9477384185087	2.06683979676359e-30	***
df.mm.trans3:probe10	1.08947254333029	0.049337952070861	22.0818355363747	6.84328081832263e-85	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.11816820735735	0.176774972718411	23.2961043298661	3.28890968564964e-92	***
df.mm.trans1	0.173188370345290	0.152192272742867	1.13795771115066	0.255475869448735	   
df.mm.trans2	0.0771493537358152	0.135168083142915	0.570766056172033	0.56831712775431	   
df.mm.exp2	0.00384510103187429	0.174214942502199	0.022071017426222	0.982396761496677	   
df.mm.exp3	0.359068415954227	0.174214942502199	2.06106554809267	0.0396166689636924	*  
df.mm.exp4	-0.0438577730933931	0.174214942502199	-0.251745185937994	0.801302122846854	   
df.mm.exp5	-0.101572636842652	0.174214942502199	-0.583030567779054	0.560035605082006	   
df.mm.exp6	-0.114286656486942	0.174214942502199	-0.656009495198721	0.5120050021501	   
df.mm.exp7	0.132039410407666	0.174214942502199	0.757910937553475	0.448725562383065	   
df.mm.exp8	-0.0626294424667411	0.174214942502199	-0.359495239427873	0.719318685865263	   
df.mm.trans1:exp2	-0.169902244732128	0.159870595541439	-1.06274855708590	0.288213907027499	   
df.mm.trans2:exp2	0.0523657745743356	0.119902946656079	0.436734676125499	0.662420605184518	   
df.mm.trans1:exp3	-0.35491991987769	0.159870595541439	-2.22004502251131	0.0266928500524878	*  
df.mm.trans2:exp3	-0.257455070419164	0.119902946656079	-2.1471955243738	0.0320750249289641	*  
df.mm.trans1:exp4	-0.059119795487048	0.159870595541439	-0.369797806074502	0.711630171063275	   
df.mm.trans2:exp4	-0.0195088187142798	0.119902946656079	-0.162705081554313	0.870791378019842	   
df.mm.trans1:exp5	0.0258235224140254	0.159870595541439	0.161527655079835	0.871718261865047	   
df.mm.trans2:exp5	0.0345753955856524	0.119902946656079	0.288361516959429	0.773144068795877	   
df.mm.trans1:exp6	0.0224502872943626	0.159870595541439	0.140427870543233	0.888356980634358	   
df.mm.trans2:exp6	0.0412797497587102	0.119902946656079	0.344276357753859	0.730728153431413	   
df.mm.trans1:exp7	-0.224632885977935	0.159870595541439	-1.40509194462661	0.160378756533603	   
df.mm.trans2:exp7	-0.0419783833817013	0.119902946656079	-0.350103017085219	0.726352740418349	   
df.mm.trans1:exp8	-0.0737410045625984	0.159870595541439	-0.461254330809599	0.644740437344198	   
df.mm.trans2:exp8	-0.0258487851502744	0.119902946656079	-0.215580899979190	0.829368918684067	   
df.mm.trans1:probe2	0.118074008068318	0.109455914324789	1.07873575216737	0.281027860692721	   
df.mm.trans1:probe3	0.153940077955440	0.109455914324789	1.4064116946541	0.159986854308943	   
df.mm.trans1:probe4	0.111311934252210	0.109455914324789	1.01695678062598	0.309478774517864	   
df.mm.trans1:probe5	0.127147300531060	0.109455914324789	1.1616302446095	0.245729145649679	   
df.mm.trans1:probe6	0.127073636123992	0.109455914324789	1.16095723934045	0.246002584598198	   
df.mm.trans1:probe7	0.159237980703084	0.109455914324789	1.45481385528951	0.146109641848758	   
df.mm.trans1:probe8	0.0318132873141279	0.109455914324789	0.290649322244281	0.771394209852359	   
df.mm.trans1:probe9	0.110372938747970	0.109455914324789	1.00837802533411	0.313575265221157	   
df.mm.trans1:probe10	0.0112488557329728	0.109455914324789	0.102770652480177	0.918170529383295	   
df.mm.trans1:probe11	-0.0494373750093376	0.109455914324789	-0.451664721036838	0.65163189581884	   
df.mm.trans1:probe12	0.105734692649731	0.109455914324789	0.966002552735386	0.334332296728261	   
df.mm.trans1:probe13	0.10126482069278	0.109455914324789	0.925165362853732	0.355156462730831	   
df.mm.trans1:probe14	0.0875937936924892	0.109455914324789	0.8002655154163	0.423792492599606	   
df.mm.trans1:probe15	0.118592927277614	0.109455914324789	1.08347664910745	0.278920514961916	   
df.mm.trans1:probe16	0.0514763518193772	0.109455914324789	0.470293013739133	0.638272758503452	   
df.mm.trans1:probe17	0.0700347915429509	0.109455914324789	0.639844744571194	0.522455141365185	   
df.mm.trans1:probe18	0.0837363150492897	0.109455914324789	0.765023211087698	0.444481381410498	   
df.mm.trans1:probe19	0.0997622120786437	0.109455914324789	0.911437382749545	0.362337134729519	   
df.mm.trans1:probe20	0.0670997520109175	0.109455914324789	0.613029934698753	0.540029268373752	   
df.mm.trans2:probe2	0.0454889379730057	0.109455914324789	0.415591411881375	0.6778194920383	   
df.mm.trans2:probe3	-0.0241667282329941	0.109455914324789	-0.220789606318432	0.825312103990051	   
df.mm.trans2:probe4	0.117570879938394	0.109455914324789	1.07413912408173	0.283081392949936	   
df.mm.trans2:probe5	0.0797913228842533	0.109455914324789	0.728981374615249	0.466224558088706	   
df.mm.trans2:probe6	0.151430178814723	0.109455914324789	1.38348100921604	0.166900000751091	   
df.mm.trans3:probe2	0.0206914694228101	0.109455914324789	0.189039299981655	0.850109546312353	   
df.mm.trans3:probe3	0.0851970294043014	0.109455914324789	0.778368441119557	0.436579991823399	   
df.mm.trans3:probe4	0.0317183374938454	0.109455914324789	0.289781851346356	0.772057570142289	   
df.mm.trans3:probe5	-0.064133114571416	0.109455914324789	-0.585926443235528	0.558088773805158	   
df.mm.trans3:probe6	0.00850029861602434	0.109455914324789	0.0776595642954606	0.938118110153552	   
df.mm.trans3:probe7	-0.0276135649776794	0.109455914324789	-0.252280245869051	0.800888694462725	   
df.mm.trans3:probe8	-0.0398723009022017	0.109455914324789	-0.36427726311699	0.715746401743731	   
df.mm.trans3:probe9	0.0738803872015865	0.109455914324789	0.67497848478394	0.499882767626947	   
df.mm.trans3:probe10	0.0257797318281426	0.109455914324789	0.235526165828248	0.813860127926262