chr10.2281_chr10_39144082_39147601_-_2.R 

fitVsDatCorrelation=0.742022672295726
cont.fitVsDatCorrelation=0.232612276630843

fstatistic=10360.9488328140,58,830
cont.fstatistic=4915.07717365175,58,830

residuals=-0.539712440570524,-0.0893207258780171,-0.00694159916034029,0.0772939939812125,0.824242760961626
cont.residuals=-0.477233450625491,-0.153895529929933,-0.0381479202493331,0.119978686612289,0.966606906105914

predictedValues:
Include	Exclude	Both
chr10.2281_chr10_39144082_39147601_-_2.R.tl.Lung	53.7421508303495	48.0736538536382	54.1723310434569
chr10.2281_chr10_39144082_39147601_-_2.R.tl.cerebhem	64.0491529121806	57.5259273229409	62.2245890246404
chr10.2281_chr10_39144082_39147601_-_2.R.tl.cortex	59.0907048176829	48.972601673393	56.6687326606524
chr10.2281_chr10_39144082_39147601_-_2.R.tl.heart	56.1845187826221	47.5497453257581	53.1001850636133
chr10.2281_chr10_39144082_39147601_-_2.R.tl.kidney	56.0755901251676	47.2688889991102	57.0823485684813
chr10.2281_chr10_39144082_39147601_-_2.R.tl.liver	58.3503134313966	54.4683020356106	54.5418184200632
chr10.2281_chr10_39144082_39147601_-_2.R.tl.stomach	54.3909954194551	51.0610238438331	52.9083626955782
chr10.2281_chr10_39144082_39147601_-_2.R.tl.testicle	57.4855281673296	51.3484279875928	55.3438317712448


diffExp=5.66849697671135,6.52322558923974,10.1181031442899,8.63477345686406,8.80670112605745,3.88201139578602,3.329971575622,6.13710017973683
diffExpScore=0.981515842655174
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=0,0,1,0,0,0,0,0
diffExp1.2Score=0.5

cont.predictedValues:
Include	Exclude	Both
Lung	54.5727260819586	54.1265004079222	52.3195011035502
cerebhem	55.2830698064897	55.9541416610006	53.2722555621322
cortex	53.9934685830658	59.4296038779066	56.7132889817261
heart	52.793348190627	57.3132896091244	55.6588870018062
kidney	56.6322987727559	54.3592562529465	55.9122997734214
liver	56.9969427693024	56.1146522580959	55.1743139152647
stomach	53.0083344274825	52.4185009555722	53.3105439075084
testicle	55.0047258899842	50.1560192786178	52.9570125659774
cont.diffExp=0.446225674036405,-0.671071854510863,-5.43613529484088,-4.51994141849741,2.27304251980946,0.88229051120652,0.589833471910282,4.84870661136642
cont.diffExpScore=7.60219131145855

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=0.761598018753631
cont.tran.correlation=-0.0855771259240394

tran.covariance=0.00287988767282716
cont.tran.covariance=-0.000116822869174607

tran.mean=54.1023453455038
cont.tran.mean=54.8848049264283

weightedLogRatios:
wLogRatio
Lung	0.437879917717508
cerebhem	0.441040089123416
cortex	0.748464797614714
heart	0.658316561035072
kidney	0.673360239267364
liver	0.277589192821375
stomach	0.250472768650235
testicle	0.451040603207901

cont.weightedLogRatios:
wLogRatio
Lung	0.0328037853286765
cerebhem	-0.0484861971623336
cortex	-0.387250454925096
heart	-0.329202028329147
kidney	0.164517673722471
liver	0.0629517865182194
stomach	0.0443649515845124
testicle	0.365549083705782

varWeightedLogRatios=0.0339767582214848
cont.varWeightedLogRatios=0.0610378621997493

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.64034379839345	0.072311149812082	50.3427729728231	1.79737660870632e-254	***
df.mm.trans1	0.365789736483131	0.0626032564657437	5.84298257205342	7.36142086887698e-09	***
df.mm.trans2	0.243890529076600	0.055462781379493	4.39737285095437	1.23811982103421e-05	***
df.mm.exp2	0.216374680757943	0.0716838605153539	3.01845742127125	0.00261835744578994	** 
df.mm.exp3	0.0683503842694077	0.0716838605153539	0.953497534563834	0.340615642357317	   
df.mm.exp4	0.0534756374148927	0.0716838605153539	0.745992710638664	0.455883040513734	   
df.mm.exp5	-0.026703626188505	0.0716838605153539	-0.372519364840645	0.709601296683246	   
df.mm.exp6	0.200354296181703	0.0716838605153539	2.79497078897961	0.00531019450495692	** 
df.mm.exp7	0.0958970321668272	0.0716838605153538	1.33777717156133	0.181335509559968	   
df.mm.exp8	0.111840707153705	0.0716838605153539	1.56019369422424	0.119095304692941	   
df.mm.trans1:exp2	-0.0409215031984125	0.066452717237893	-0.615798794982577	0.538196147452827	   
df.mm.trans2:exp2	-0.0368732147382422	0.0498898554959332	-0.739092434157239	0.460059829591754	   
df.mm.trans1:exp3	0.0265256236034751	0.066452717237893	0.399165372102339	0.689874037310276	   
df.mm.trans2:exp3	-0.0498236821822088	0.0498898554959332	-0.998673611838186	0.318243884192388	   
df.mm.trans1:exp4	-0.00903201024543277	0.066452717237893	-0.135916342037591	0.891920373121252	   
df.mm.trans2:exp4	-0.064433494481453	0.0498898554959332	-1.29151495511358	0.196884712509179	   
df.mm.trans1:exp5	0.0692066051134411	0.066452717237893	1.04144131331289	0.297974031580002	   
df.mm.trans2:exp5	0.00982167730113913	0.0498898554959332	0.196867222875395	0.843979639489245	   
df.mm.trans1:exp6	-0.118087191169578	0.066452717237893	-1.77701072398349	0.0759326448545677	.  
df.mm.trans2:exp6	-0.0754696678594906	0.0498898554959332	-1.51272572568671	0.130729997251818	   
df.mm.trans1:exp7	-0.0838960426643649	0.066452717237893	-1.26249228250557	0.207126297707471	   
df.mm.trans2:exp7	-0.0356098588940193	0.0498898554959332	-0.713769533706548	0.475570358263707	   
df.mm.trans1:exp8	-0.0445051003555206	0.066452717237893	-0.669725817173096	0.503218856738049	   
df.mm.trans2:exp8	-0.0459406750450068	0.0498898554959332	-0.920842014640665	0.357400477647323	   
df.mm.trans1:probe2	0.128705705973085	0.0445778379100502	2.88721283954571	0.0039876625710377	** 
df.mm.trans1:probe3	0.170497129974635	0.0445778379100502	3.8247061312993	0.000140737927499700	***
df.mm.trans1:probe4	0.0649655400017377	0.0445778379100502	1.45735062639929	0.145397844721978	   
df.mm.trans1:probe5	0.413382901648467	0.0445778379100502	9.27328289188446	1.52438370855007e-19	***
df.mm.trans1:probe6	-0.168141766645623	0.0445778379100502	-3.77186903916025	0.000173532225061657	***
df.mm.trans1:probe7	0.204453139402248	0.0445778379100502	4.58643014079768	5.20394644780135e-06	***
df.mm.trans1:probe8	-0.255858468945498	0.0445778379100502	-5.7395890186907	1.33032095510610e-08	***
df.mm.trans1:probe9	-0.250991847434414	0.0445778379100502	-5.63041769636447	2.46020578965677e-08	***
df.mm.trans1:probe10	-0.0640684088656331	0.0445778379100502	-1.43722557821021	0.151030769484789	   
df.mm.trans1:probe11	0.0823403307678229	0.0445778379100502	1.84711360236830	0.065086416411016	.  
df.mm.trans1:probe12	0.0358414157214876	0.0445778379100502	0.80401870978599	0.421616383325739	   
df.mm.trans1:probe13	-0.193489390570163	0.0445778379100502	-4.34048396336737	1.59708308284459e-05	***
df.mm.trans1:probe14	-0.0413449204831662	0.0445778379100502	-0.927477024942138	0.353948534465275	   
df.mm.trans1:probe15	-0.208865339790917	0.0445778379100502	-4.68540758330110	3.26405748965651e-06	***
df.mm.trans1:probe16	-0.235658774502292	0.0445778379100502	-5.28645590613452	1.59556914780703e-07	***
df.mm.trans1:probe17	0.135164925671709	0.0445778379100502	3.03211039405828	0.00250402914666461	** 
df.mm.trans1:probe18	-0.0308904439597537	0.0445778379100502	-0.692955185984679	0.488531520123295	   
df.mm.trans1:probe19	-0.0754799142316294	0.0445778379100502	-1.69321613093784	0.0907895721420874	.  
df.mm.trans1:probe20	-0.105709494603495	0.0445778379100502	-2.37134638106041	0.017950770991092	*  
df.mm.trans1:probe21	-0.177016242787713	0.0445778379100502	-3.97094724838155	7.77959379427625e-05	***
df.mm.trans1:probe22	-0.107849273805809	0.0445778379100502	-2.41934734527567	0.0157623909130751	*  
df.mm.trans2:probe2	-0.113764749879522	0.0445778379100502	-2.5520472775974	0.0108872999374039	*  
df.mm.trans2:probe3	-0.0840701824558614	0.0445778379100502	-1.88591879726198	0.0596548543244267	.  
df.mm.trans2:probe4	0.133829408591000	0.0445778379100502	3.00215117792483	0.00276115944821848	** 
df.mm.trans2:probe5	-0.0673325219081495	0.0445778379100502	-1.51044835426998	0.1313096517784	   
df.mm.trans2:probe6	-0.0411625146214923	0.0445778379100502	-0.923385174143047	0.356074866590159	   
df.mm.trans3:probe2	-0.293810321046141	0.0445778379100502	-6.5909504547752	7.76305405919738e-11	***
df.mm.trans3:probe3	-0.0932233241273245	0.0445778379100502	-2.09124821879948	0.0368093257614428	*  
df.mm.trans3:probe4	-0.272998019914703	0.0445778379100502	-6.12407493754099	1.40661555889519e-09	***
df.mm.trans3:probe5	-0.426026464878854	0.0445778379100502	-9.55691179411831	1.32966703360518e-20	***
df.mm.trans3:probe6	-0.369115915758849	0.0445778379100502	-8.28025613318563	4.89480547022671e-16	***
df.mm.trans3:probe7	-0.312792450456094	0.0445778379100502	-7.0167703307471	4.71655210255817e-12	***
df.mm.trans3:probe8	-0.189338616844744	0.0445778379100502	-4.24737101935706	2.40762187005382e-05	***
df.mm.trans3:probe9	-0.363378935853451	0.0445778379100502	-8.15156034679569	1.31978492411531e-15	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.04821430198818	0.104907916979132	38.5882631030929	2.24686476695385e-187	***
df.mm.trans1	-0.0878625650854807	0.0908238528774468	-0.967395263489185	0.333628271477548	   
df.mm.trans2	-0.0665210989271633	0.080464560161363	-0.826713012458683	0.408637337781546	   
df.mm.exp2	0.0280945329930937	0.103997855202572	0.270145311539067	0.787115618300166	   
df.mm.exp3	0.00215804311651668	0.103997855202572	0.0207508425275996	0.98344939856551	   
df.mm.exp4	-0.0378130019251676	0.103997855202572	-0.363594055391946	0.716253756126854	   
df.mm.exp5	-0.0250789793480286	0.103997855202572	-0.241149005421107	0.809499190372924	   
df.mm.exp6	0.0264081017856705	0.103997855202572	0.253929292428497	0.799613074274188	   
df.mm.exp7	-0.0799143494108417	0.103997855202572	-0.768423053102205	0.442454464812466	   
df.mm.exp8	-0.0804118323897873	0.103997855202572	-0.773206641936576	0.439620238927734	   
df.mm.trans1:exp2	-0.0151620587597861	0.096408592051814	-0.157268749984829	0.875071296456444	   
df.mm.trans2:exp2	0.00511401624951057	0.072379444000955	0.0706556442937459	0.943688843374207	   
df.mm.trans1:exp3	-0.0128291916725714	0.0964085920518139	-0.133071040656589	0.894169452645045	   
df.mm.trans2:exp3	0.0913105337831047	0.0723794440009549	1.26155340156937	0.20746396121527	   
df.mm.trans1:exp4	0.00466396782337821	0.0964085920518139	0.0483770971457773	0.961427349888488	   
df.mm.trans2:exp4	0.0950216220044215	0.0723794440009549	1.31282608364839	0.189604424393604	   
df.mm.trans1:exp5	0.0621242158543001	0.096408592051814	0.644384639710452	0.519504081341232	   
df.mm.trans2:exp5	0.0293699795553662	0.0723794440009549	0.405777910576085	0.685010372883513	   
df.mm.trans1:exp6	0.0170552933445857	0.096408592051814	0.176906362613609	0.859625099265939	   
df.mm.trans2:exp6	0.00966495061140418	0.0723794440009549	0.13353170564942	0.893805259888372	   
df.mm.trans1:exp7	0.0508292683091004	0.0964085920518139	0.527227576166475	0.598176449966603	   
df.mm.trans2:exp7	0.047850042992964	0.0723794440009549	0.661099897262719	0.508731711341837	   
df.mm.trans1:exp8	0.0882967035637563	0.096408592051814	0.91585927856204	0.360006718193125	   
df.mm.trans2:exp8	0.00422645799015283	0.072379444000955	0.0583930706914116	0.95344958929495	   
df.mm.trans1:probe2	-0.0216284850483993	0.0646728496328705	-0.334429133263466	0.738140245865236	   
df.mm.trans1:probe3	-0.0154875100839053	0.0646728496328705	-0.239474681753217	0.810796649664838	   
df.mm.trans1:probe4	0.0719360676851859	0.0646728496328705	1.11230706693066	0.266328207080226	   
df.mm.trans1:probe5	0.00563762002069324	0.0646728496328705	0.0871713563372639	0.930556332555296	   
df.mm.trans1:probe6	0.0733619935811206	0.0646728496328705	1.13435535928254	0.256973019709996	   
df.mm.trans1:probe7	0.0228903971355687	0.0646728496328706	0.353941372082891	0.723472711944027	   
df.mm.trans1:probe8	0.0804226527777224	0.0646728496328705	1.24353037223903	0.214023571256404	   
df.mm.trans1:probe9	0.0128239333524754	0.0646728496328705	0.198289288708835	0.842867287872679	   
df.mm.trans1:probe10	0.0810454391191022	0.0646728496328705	1.25316016812579	0.210500330094033	   
df.mm.trans1:probe11	0.0783560442966562	0.0646728496328705	1.21157556442095	0.226019709601752	   
df.mm.trans1:probe12	0.148220729746793	0.0646728496328705	2.29185400965320	0.0221636433988643	*  
df.mm.trans1:probe13	0.0648373659330103	0.0646728496328706	1.00254382327474	0.316373195591427	   
df.mm.trans1:probe14	0.0664265193704971	0.0646728496328705	1.02711601155016	0.304665073406465	   
df.mm.trans1:probe15	0.0618958395476056	0.0646728496328705	0.957060650628057	0.338815321320766	   
df.mm.trans1:probe16	0.0619997555783557	0.0646728496328706	0.958667445926857	0.338005467626671	   
df.mm.trans1:probe17	0.0982934670339161	0.0646728496328705	1.51985674965461	0.128927809017351	   
df.mm.trans1:probe18	0.0978766445930854	0.0646728496328705	1.51341165804048	0.130555798552905	   
df.mm.trans1:probe19	0.112208296847564	0.0646728496328705	1.73501395847777	0.0831095327782567	.  
df.mm.trans1:probe20	0.0700973409026877	0.0646728496328705	1.08387586600267	0.278734586969564	   
df.mm.trans1:probe21	0.0212744159337986	0.0646728496328705	0.328954361135584	0.742273167813638	   
df.mm.trans1:probe22	0.0221689325198091	0.0646728496328705	0.342785769386317	0.731846425704985	   
df.mm.trans2:probe2	0.0244909359423992	0.0646728496328705	0.378689605938617	0.705015216622042	   
df.mm.trans2:probe3	-0.0098318860620478	0.0646728496328705	-0.152024939644080	0.879204210193554	   
df.mm.trans2:probe4	0.0848047327145472	0.0646728496328705	1.31128801646997	0.190123109994363	   
df.mm.trans2:probe5	0.0315391013852414	0.0646728496328705	0.487671434988251	0.625911372917601	   
df.mm.trans2:probe6	0.0134576766191222	0.0646728496328706	0.208088505385453	0.835210911345447	   
df.mm.trans3:probe2	0.0252771923604821	0.0646728496328705	0.390847047933925	0.696010596637056	   
df.mm.trans3:probe3	0.115853791992897	0.0646728496328705	1.79138220521542	0.0735962151982845	.  
df.mm.trans3:probe4	0.0678075216412527	0.0646728496328705	1.04846967508277	0.294727469069560	   
df.mm.trans3:probe5	0.0488279344339084	0.0646728496328705	0.754998963414954	0.450463779925753	   
df.mm.trans3:probe6	0.0652555735662142	0.0646728496328705	1.00901033334160	0.313263735153554	   
df.mm.trans3:probe7	0.126679180367533	0.0646728496328705	1.95876911388094	0.0504743306921103	.  
df.mm.trans3:probe8	0.0808024553120524	0.0646728496328705	1.24940304580276	0.211869909131005	   
df.mm.trans3:probe9	0.0413431531337579	0.0646728496328705	0.639265988253978	0.522826293761501