chr11.3695_chr11_61936323_61939148_+_2.R 

fitVsDatCorrelation=0.86185635688181
cont.fitVsDatCorrelation=0.285304275664180

fstatistic=12377.3089329996,52,692
cont.fstatistic=3456.00033125985,52,692

residuals=-0.56854650803291,-0.0758553872899772,-0.00524092735586499,0.0701983793121373,0.894525279846673
cont.residuals=-0.66210308576688,-0.198165136779832,-0.0166174614342992,0.171886351284406,1.05210938667554

predictedValues:
Include	Exclude	Both
chr11.3695_chr11_61936323_61939148_+_2.R.tl.Lung	60.7683455378257	96.0835930982042	60.7491564356306
chr11.3695_chr11_61936323_61939148_+_2.R.tl.cerebhem	60.4710030714214	67.8363706279058	67.8364633395333
chr11.3695_chr11_61936323_61939148_+_2.R.tl.cortex	61.333288801948	91.8447164286403	56.8003950759159
chr11.3695_chr11_61936323_61939148_+_2.R.tl.heart	59.92089519566	97.0966710182142	56.8430976774508
chr11.3695_chr11_61936323_61939148_+_2.R.tl.kidney	62.0715779155005	106.730268296370	57.5225904394328
chr11.3695_chr11_61936323_61939148_+_2.R.tl.liver	61.9134478559621	100.431368911056	53.7440143748523
chr11.3695_chr11_61936323_61939148_+_2.R.tl.stomach	61.663888718393	95.806061544993	61.0751387889498
chr11.3695_chr11_61936323_61939148_+_2.R.tl.testicle	57.1654230020941	98.990555587584	54.7599429966873


diffExp=-35.3152475603785,-7.36536755648439,-30.5114276266923,-37.1757758225542,-44.6586903808692,-38.5179210550943,-34.1421728266000,-41.8251325854899
diffExpScore=0.996303302707112
diffExp1.5=-1,0,0,-1,-1,-1,-1,-1
diffExp1.5Score=0.857142857142857
diffExp1.4=-1,0,-1,-1,-1,-1,-1,-1
diffExp1.4Score=0.875
diffExp1.3=-1,0,-1,-1,-1,-1,-1,-1
diffExp1.3Score=0.875
diffExp1.2=-1,0,-1,-1,-1,-1,-1,-1
diffExp1.2Score=0.875

cont.predictedValues:
Include	Exclude	Both
Lung	70.5604266479243	66.82514501858	58.7697341307819
cerebhem	69.0559846009063	75.061971572235	55.5045530721124
cortex	64.5089813804449	73.7546438594592	58.6694442457007
heart	62.9671364006229	67.832542178188	74.6488569618378
kidney	69.4264721037142	69.0558590627292	70.3726716818454
liver	64.9172282118816	68.9149446919543	71.9370715933078
stomach	70.4147495207045	58.048487060625	67.3942271397729
testicle	70.8182940584222	57.5868377424964	67.0572450302147
cont.diffExp=3.73528162934431,-6.00598697132877,-9.2456624790143,-4.86540577756502,0.370613040984964,-3.9977164800727,12.3662624600795,13.2314563159258
cont.diffExpScore=8.16811016131063

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=0,0,0,0,0,0,1,1
cont.diffExp1.2Score=0.666666666666667

tran.correlation=0.0916479055400538
cont.tran.correlation=-0.496679820925589

tran.covariance=0.000273433877290263
cont.tran.covariance=-0.00232118717680105

tran.mean=77.5079672257358
cont.tran.mean=67.4843565069305

weightedLogRatios:
wLogRatio
Lung	-1.98660234347984
cerebhem	-0.47808525578684
cortex	-1.74359231627637
heart	-2.09211972269041
kidney	-2.38449169979498
liver	-2.11277345651438
stomach	-1.91320985259892
testicle	-2.37227228038967

cont.weightedLogRatios:
wLogRatio
Lung	0.230030347588336
cerebhem	-0.356654846878243
cortex	-0.567069603023656
heart	-0.311100828496736
kidney	0.0226817470146209
liver	-0.251170916506540
stomach	0.80297926918761
testicle	0.859703704351079

varWeightedLogRatios=0.370318340715813
cont.varWeightedLogRatios=0.288983976243204

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.53382682423717	0.0763389851838773	59.3907138445261	7.33787821774526e-274	***
df.mm.trans1	-0.694343164602217	0.068563572433541	-10.1269980538900	1.43152071659114e-22	***
df.mm.trans2	0.0886061788844503	0.0630535166396786	1.40525356247445	0.160394656127559	   
df.mm.exp2	-0.463371803146182	0.0863677025478704	-5.36510512004591	1.10455459162162e-07	***
df.mm.exp3	0.0313443491967049	0.0863677025478705	0.362917482716781	0.716777349331884	   
df.mm.exp4	0.0629031711411689	0.0863677025478704	0.728318217175037	0.466665193405159	   
df.mm.exp5	0.180880849986524	0.0863677025478705	2.09431123730852	0.0365954311141569	*  
df.mm.exp6	0.185445306357746	0.0863677025478705	2.14716034914742	0.0321273057411394	*  
df.mm.exp7	0.0063851553791666	0.0863677025478704	0.073929897297286	0.941087530973522	   
df.mm.exp8	0.0724803121430716	0.0863677025478705	0.83920620793286	0.401643414247036	   
df.mm.trans1:exp2	0.458466744417698	0.0826907796539673	5.54435145413097	4.19964577448134e-08	***
df.mm.trans2:exp2	0.115251720185023	0.0719730854565587	1.60131692915383	0.109763114253153	   
df.mm.trans1:exp3	-0.0220906271056451	0.0826907796539673	-0.267147403834948	0.789435264978513	   
df.mm.trans2:exp3	-0.0764636371172515	0.0719730854565588	-1.06239209604823	0.288428330101551	   
df.mm.trans1:exp4	-0.0769469129906979	0.0826907796539673	-0.930538003302115	0.352417100677624	   
df.mm.trans2:exp4	-0.0524146545017235	0.0719730854565587	-0.728253543240963	0.466704749664785	   
df.mm.trans1:exp5	-0.159661669130183	0.0826907796539674	-1.93082795685701	0.0539125183549966	.  
df.mm.trans2:exp5	-0.0757946292925604	0.0719730854565587	-1.05309684601903	0.292664178535471	   
df.mm.trans1:exp6	-0.166776919749251	0.0826907796539673	-2.01687443808313	0.0440943497889038	*  
df.mm.trans2:exp6	-0.141189282560632	0.0719730854565588	-1.96169556529364	0.0501984318871702	.  
df.mm.trans1:exp7	0.0082443114121639	0.0826907796539673	0.0997004919612988	0.920610985448086	   
df.mm.trans2:exp7	-0.00927777350640834	0.0719730854565587	-0.128906152175568	0.897469364186787	   
df.mm.trans1:exp8	-0.133600110301599	0.0826907796539673	-1.61565909597987	0.106623831332398	   
df.mm.trans2:exp8	-0.0426744386790379	0.0719730854565587	-0.592922179288746	0.553426947562154	   
df.mm.trans1:probe2	0.435468971496579	0.0413453898269837	10.5324674242731	3.67631203158582e-24	***
df.mm.trans1:probe3	0.0761582625787722	0.0413453898269837	1.84200131858639	0.0659026639487423	.  
df.mm.trans1:probe4	0.593011987763697	0.0413453898269837	14.342880554404	4.8959624938768e-41	***
df.mm.trans1:probe5	0.0201109339283713	0.0413453898269837	0.486412971616150	0.626828400465219	   
df.mm.trans1:probe6	-0.00934527650102527	0.0413453898269837	-0.226029468826683	0.821245243156824	   
df.mm.trans1:probe7	0.198473509880986	0.0413453898269837	4.80037824559232	1.94164423791143e-06	***
df.mm.trans1:probe8	0.475287347762727	0.0413453898269837	11.4955343207947	4.12114720843689e-28	***
df.mm.trans1:probe9	0.465982784979806	0.0413453898269837	11.2704895740440	3.62391456438367e-27	***
df.mm.trans1:probe10	0.139295841075344	0.0413453898269837	3.36907794697908	0.000796024337167157	***
df.mm.trans1:probe11	0.456521630886732	0.0413453898269837	11.0416574325969	3.20826276803021e-26	***
df.mm.trans1:probe12	0.444523964642537	0.0413453898269837	10.7514759566355	4.87581981082515e-25	***
df.mm.trans1:probe13	0.491919682587823	0.0413453898269837	11.8978121780043	7.88222947831419e-30	***
df.mm.trans1:probe14	0.466773022806783	0.0413453898269837	11.2896026560656	3.01632100338753e-27	***
df.mm.trans1:probe15	0.471519245413701	0.0413453898269837	11.4043971380327	9.97431744897277e-28	***
df.mm.trans1:probe16	0.502040435045032	0.0413453898269837	12.1425976909614	6.79722732348247e-31	***
df.mm.trans1:probe17	0.299265299109249	0.0413453898269837	7.23817819499518	1.21219837462013e-12	***
df.mm.trans1:probe18	0.186795174007275	0.0413453898269837	4.51792025154313	7.34250475052334e-06	***
df.mm.trans1:probe19	0.246527654106176	0.0413453898269837	5.96263948986356	3.9566419173398e-09	***
df.mm.trans1:probe20	0.223881943832658	0.0413453898269837	5.41491916679291	8.46571573712724e-08	***
df.mm.trans1:probe21	0.30220465265498	0.0413453898269837	7.30927085025932	7.43277126611819e-13	***
df.mm.trans1:probe22	0.203216960926797	0.0413453898269837	4.9151056932149	1.10896866341655e-06	***
df.mm.trans2:probe2	-0.171863496639395	0.0413453898269837	-4.15677533477335	3.63263166934685e-05	***
df.mm.trans2:probe3	-0.123403139964564	0.0413453898269837	-2.98468923575188	0.00293871899964134	** 
df.mm.trans2:probe4	-0.0877872466255366	0.0413453898269837	-2.12326566499666	0.0340858729473194	*  
df.mm.trans2:probe5	-0.234998963006936	0.0413453898269837	-5.6838008781711	1.94223545354982e-08	***
df.mm.trans2:probe6	0.103122984273696	0.0413453898269837	2.4941833830865	0.0128569707233555	*  
df.mm.trans3:probe2	0.144529870091916	0.0413453898269837	3.49567075547538	0.000503045967283986	***
df.mm.trans3:probe3	0.391460203222884	0.0413453898269837	9.4680496389322	4.39412684187391e-20	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.41897802480894	0.144268465332257	30.6302421297116	6.94258186518035e-131	***
df.mm.trans1	-0.15477543278601	0.129574179547426	-1.19449286367551	0.232694487872683	   
df.mm.trans2	-0.186098864626066	0.119161055881177	-1.56174232638251	0.118805884556280	   
df.mm.exp2	0.151844658192675	0.163221136236505	0.930300215363374	0.352540081962753	   
df.mm.exp3	0.0107074770890641	0.163221136236505	0.0656010449133813	0.947714404009564	   
df.mm.exp4	-0.338062106828644	0.163221136236505	-2.07119074541178	0.0387110764805122	*  
df.mm.exp5	-0.163542929247417	0.163221136236505	-1.00197151556675	0.316707580874393	   
df.mm.exp6	-0.254727520022057	0.163221136236505	-1.56062827336872	0.119068670765823	   
df.mm.exp7	-0.27979986064151	0.163221136236505	-1.71423791730064	0.0869328179646674	.  
df.mm.exp8	-0.277057163584015	0.163221136236505	-1.6974343517776	0.0900642010881497	.  
df.mm.trans1:exp2	-0.173396569829144	0.15627234039162	-1.10957940090108	0.267565749190712	   
df.mm.trans2:exp2	-0.0356100303615365	0.136017613530421	-0.261804551905127	0.793550036488947	   
df.mm.trans1:exp3	-0.100372475050565	0.15627234039162	-0.642292006371892	0.520896325898832	   
df.mm.trans2:exp3	0.0879570515870947	0.136017613530421	0.646659276722444	0.518066902490788	   
df.mm.trans1:exp4	0.224205594404006	0.15627234039162	1.43471067139677	0.151821327909776	   
df.mm.trans2:exp4	0.353024727607069	0.136017613530421	2.59543391803529	0.00964743999300507	** 
df.mm.trans1:exp5	0.147341708168321	0.15627234039162	0.942852124688743	0.346085590350208	   
df.mm.trans2:exp5	0.196379225820974	0.136017613530421	1.44377791025611	0.149254016064735	   
df.mm.trans1:exp6	0.171371108036784	0.15627234039162	1.09661829858903	0.273189753833151	   
df.mm.trans2:exp6	0.285521146466322	0.136017613530421	2.0991483312745	0.0361655242169996	*  
df.mm.trans1:exp7	0.277733153820760	0.15627234039162	1.77723807760707	0.0759682389046405	.  
df.mm.trans2:exp7	0.138999073604693	0.136017613530421	1.02191966170326	0.307176041733317	   
df.mm.trans1:exp8	0.280705063284431	0.15627234039162	1.79625557908060	0.0728899397816142	.  
df.mm.trans2:exp8	0.128271761610873	0.136017613530421	0.943052581805407	0.345983126353848	   
df.mm.trans1:probe2	0.0354111042485185	0.07813617019581	0.453197336902716	0.650548717640271	   
df.mm.trans1:probe3	-0.0352487325778393	0.07813617019581	-0.451119276635976	0.652044913745871	   
df.mm.trans1:probe4	-0.0687138172314352	0.07813617019581	-0.879411123673425	0.379483675230414	   
df.mm.trans1:probe5	0.0280054485115237	0.07813617019581	0.358418494806461	0.720139465329822	   
df.mm.trans1:probe6	0.0894316130867813	0.07813617019581	1.14456099988859	0.252786780692791	   
df.mm.trans1:probe7	-0.00122751174937923	0.07813617019581	-0.0157099042134145	0.987470353720962	   
df.mm.trans1:probe8	0.0405070371721636	0.07813617019581	0.51841595346499	0.604333805000218	   
df.mm.trans1:probe9	-0.0531667411744273	0.07813617019581	-0.680436999166851	0.496455388689037	   
df.mm.trans1:probe10	-0.0112768657605044	0.07813617019581	-0.144323246612222	0.88528724277388	   
df.mm.trans1:probe11	0.00554854415313754	0.07813617019581	0.0710112120831215	0.943409348957043	   
df.mm.trans1:probe12	-0.00444101188280663	0.07813617019581	-0.0568368256554859	0.954691585521574	   
df.mm.trans1:probe13	-0.0659797526789682	0.07813617019581	-0.844420100366096	0.398726522517443	   
df.mm.trans1:probe14	-0.0285643381973314	0.07813617019581	-0.365571260093102	0.714796739694322	   
df.mm.trans1:probe15	-0.0593335402899696	0.07813617019581	-0.759360743446718	0.447895379826317	   
df.mm.trans1:probe16	-0.0151352993468775	0.07813617019581	-0.193704136111974	0.846464396629642	   
df.mm.trans1:probe17	-0.00238797206261402	0.07813617019581	-0.0305616727391391	0.975627920596998	   
df.mm.trans1:probe18	0.0513043202150601	0.07813617019581	0.656601418862622	0.511655520426712	   
df.mm.trans1:probe19	0.00734011817478112	0.07813617019581	0.0939400812246967	0.925183946645383	   
df.mm.trans1:probe20	-0.102279055708436	0.07813617019581	-1.30898475638266	0.190974020375291	   
df.mm.trans1:probe21	-0.060305131535447	0.07813617019581	-0.771795333509714	0.440499132970086	   
df.mm.trans1:probe22	0.0571832410063354	0.07813617019581	0.731840847369836	0.464513479679585	   
df.mm.trans2:probe2	-0.0545185922162416	0.07813617019581	-0.697738218799533	0.485575288842443	   
df.mm.trans2:probe3	-0.0669832924698941	0.07813617019581	-0.857263573349364	0.391596019900962	   
df.mm.trans2:probe4	-0.0955528988156632	0.07813617019581	-1.22290225610248	0.221782921005829	   
df.mm.trans2:probe5	-0.0511809816952046	0.07813617019581	-0.655022911501095	0.512670672420501	   
df.mm.trans2:probe6	-0.00896178712334992	0.07813617019581	-0.114694476333964	0.908720562562361	   
df.mm.trans3:probe2	0.0201020521507594	0.07813617019581	0.257269483523232	0.797047227148332	   
df.mm.trans3:probe3	-0.0335322441787354	0.07813617019581	-0.429151366066487	0.667946645073574