chr14.7132_chr14_22584116_22587096_+_2.R 

fitVsDatCorrelation=0.911322667221134
cont.fitVsDatCorrelation=0.244334911277835

fstatistic=11878.0737843653,60,876
cont.fstatistic=2129.07772011173,60,876

residuals=-0.599118073890748,-0.091062148793993,-0.00456711231177409,0.0812089067099685,0.490393283856192
cont.residuals=-0.812229742119238,-0.282616088795715,-0.055101371047835,0.258808252974953,1.00355702533477

predictedValues:
Include	Exclude	Both
chr14.7132_chr14_22584116_22587096_+_2.R.tl.Lung	66.3992368221022	75.0307862108421	58.9319819103841
chr14.7132_chr14_22584116_22587096_+_2.R.tl.cerebhem	63.466474520063	61.0888102008376	60.24362514044
chr14.7132_chr14_22584116_22587096_+_2.R.tl.cortex	72.4294484271514	77.4055086572641	60.5351344809595
chr14.7132_chr14_22584116_22587096_+_2.R.tl.heart	66.9470289437154	95.7166424748512	56.0066178894542
chr14.7132_chr14_22584116_22587096_+_2.R.tl.kidney	62.634899670607	76.260856420504	57.440497558945
chr14.7132_chr14_22584116_22587096_+_2.R.tl.liver	64.907291351546	80.5671705477504	56.7066073107381
chr14.7132_chr14_22584116_22587096_+_2.R.tl.stomach	64.7900890824989	95.0668308917126	55.6262636213067
chr14.7132_chr14_22584116_22587096_+_2.R.tl.testicle	63.0162015295122	76.7287541101183	56.8036713363129


diffExp=-8.63154938873991,2.37766431922545,-4.97606023011274,-28.7696135311358,-13.6259567498970,-15.6598791962045,-30.2767418092138,-13.7125525806062
diffExpScore=1.03286229580527
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=0,0,0,-1,0,0,-1,0
diffExp1.4Score=0.666666666666667
diffExp1.3=0,0,0,-1,0,0,-1,0
diffExp1.3Score=0.666666666666667
diffExp1.2=0,0,0,-1,-1,-1,-1,-1
diffExp1.2Score=0.833333333333333

cont.predictedValues:
Include	Exclude	Both
Lung	63.7181055795326	59.4490348294335	70.6025835006578
cerebhem	59.509849003959	71.9140911696116	56.8558957567248
cortex	59.0361593163019	64.7082311320363	61.8695503584812
heart	62.9770992258019	62.6251134331222	59.7802435323095
kidney	62.4013857573215	55.3181903599748	65.1785473393465
liver	67.4404028708348	57.6318361207655	62.904968467919
stomach	60.4455043154911	64.2005192816456	59.0504413074403
testicle	60.9486660981337	64.9703847231538	63.0798023985175
cont.diffExp=4.2690707500991,-12.4042421656526,-5.6720718157344,0.351985792679677,7.08319539734665,9.80856675006928,-3.75501496615451,-4.02171862502005
cont.diffExpScore=8.8696322397633

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,-1,0,0,0,0,0,0
cont.diffExp1.2Score=0.5

tran.correlation=0.187096464033775
cont.tran.correlation=-0.70646459855062

tran.covariance=0.00143708476309526
cont.tran.covariance=-0.00253436511987420

tran.mean=72.6535018663173
cont.tran.mean=62.33091082607

weightedLogRatios:
wLogRatio
Lung	-0.520235109662787
cerebhem	0.157750415764347
cortex	-0.286765628279833
heart	-1.56675461075037
kidney	-0.833751265713057
liver	-0.925263580360662
stomach	-1.67284287256744
testicle	-0.835152118254729

cont.weightedLogRatios:
wLogRatio
Lung	0.285705107712270
cerebhem	-0.791553867342999
cortex	-0.378330465165176
heart	0.0232036358383745
kidney	0.490779734221733
liver	0.649526662888418
stomach	-0.249024473151332
testicle	-0.264670877835435

varWeightedLogRatios=0.37513363411351
cont.varWeightedLogRatios=0.234257847975389

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.73780380697597	0.0695144254041084	68.1556925693291	0	***
df.mm.trans1	-0.378915079627232	0.0599036724322731	-6.32540651085511	4.02294465930299e-10	***
df.mm.trans2	-0.456810118669515	0.0527999963902061	-8.65170738447719	2.40016038022792e-17	***
df.mm.exp2	-0.272756388515749	0.0676381275430318	-4.03258337307194	5.99745911325502e-05	***
df.mm.exp3	0.091246835563808	0.0676381275430318	1.34904437598093	0.177671308861655	   
df.mm.exp4	0.302623874451192	0.0676381275430318	4.47416103082778	8.68168696686822e-06	***
df.mm.exp5	-0.0164673218262012	0.0676381275430318	-0.243462118547333	0.807704427991284	   
df.mm.exp6	0.0869603381093635	0.0676381275430318	1.2856703943207	0.198897876031594	   
df.mm.exp7	0.269877170721885	0.0676381275430318	3.99001540292769	7.15921375575852e-05	***
df.mm.exp8	0.00686728434928906	0.0676381275430318	0.101529782073285	0.919153150945202	   
df.mm.trans1:exp2	0.227582631907009	0.0623592723891028	3.64953956625669	0.000278256635937143	***
df.mm.trans2:exp2	0.0671865866962732	0.045373035317106	1.48076024067412	0.139030042427513	   
df.mm.trans1:exp3	-0.00431943541288630	0.0623592723891028	-0.0692669309214248	0.944792955780084	   
df.mm.trans2:exp3	-0.060087398340718	0.045373035317106	-1.32429752430657	0.185749662329335	   
df.mm.trans1:exp4	-0.294407743313001	0.0623592723891028	-4.7211542411205	2.72946745468342e-06	***
df.mm.trans2:exp4	-0.0591302006755693	0.045373035317106	-1.30320134551979	0.192848455205117	   
df.mm.trans1:exp5	-0.0418956154626012	0.0623592723891028	-0.671842596257144	0.501861047969036	   
df.mm.trans2:exp5	0.0327285943415351	0.0453730353171060	0.721322567749752	0.470903542547862	   
df.mm.trans1:exp6	-0.109685936001673	0.0623592723891028	-1.75893546860628	0.0789375724344688	.  
df.mm.trans2:exp6	-0.0157675969972375	0.045373035317106	-0.347510297405495	0.728291460585805	   
df.mm.trans1:exp7	-0.294410088092158	0.0623592723891028	-4.72119184225128	2.72897539799548e-06	***
df.mm.trans2:exp7	-0.0331955555014302	0.045373035317106	-0.731614168402686	0.464599762607952	   
df.mm.trans1:exp8	-0.059160986657738	0.0623592723891028	-0.948711945973192	0.343028781695967	   
df.mm.trans2:exp8	0.0155107322617960	0.045373035317106	0.341849121474761	0.732546431323603	   
df.mm.trans1:probe2	-0.463141672495536	0.0434413739737829	-10.6613035023948	4.89819691880315e-25	***
df.mm.trans1:probe3	-0.386588112624017	0.0434413739737829	-8.89907655446914	3.18219126446214e-18	***
df.mm.trans1:probe4	-0.0311526259397806	0.0434413739737829	-0.717118799202378	0.473491958987038	   
df.mm.trans1:probe5	-0.0746496764987576	0.0434413739737829	-1.7184004480109	0.0860769393383429	.  
df.mm.trans1:probe6	-0.585047092667361	0.0434413739737829	-13.4675089471258	1.03688408349941e-37	***
df.mm.trans1:probe7	-0.308767034755726	0.0434413739737829	-7.10767193832469	2.44723142609773e-12	***
df.mm.trans1:probe8	-0.421069960070679	0.0434413739737829	-9.69283246714979	3.5758591331596e-21	***
df.mm.trans1:probe9	-0.525654689902252	0.0434413739737829	-12.1003237655302	2.81334200082753e-31	***
df.mm.trans1:probe10	-0.223520381812876	0.0434413739737829	-5.14533407593811	3.29696703887520e-07	***
df.mm.trans1:probe11	0.0655492366811883	0.0434413739737829	1.50891260301176	0.131681690138492	   
df.mm.trans1:probe12	0.367608289435892	0.0434413739737829	8.46216995018955	1.09370022308019e-16	***
df.mm.trans1:probe13	0.259273511904972	0.0434413739737829	5.96835431727929	3.47757766004152e-09	***
df.mm.trans1:probe14	0.185836980688125	0.0434413739737830	4.27787990316048	2.09446491457258e-05	***
df.mm.trans1:probe15	-0.0459404376128095	0.0434413739737829	-1.05752726975290	0.290562550498796	   
df.mm.trans1:probe16	0.270653780643466	0.0434413739737829	6.23032275191864	7.22137600377586e-10	***
df.mm.trans1:probe17	-0.570431991620512	0.0434413739737829	-13.1310761939705	4.37982263938015e-36	***
df.mm.trans1:probe18	-0.569567664786365	0.0434413739737829	-13.1111797967095	5.45450137712268e-36	***
df.mm.trans1:probe19	-0.566914759642918	0.0434413739737829	-13.0501111678708	1.06822009765645e-35	***
df.mm.trans1:probe20	-0.538197711752269	0.0434413739737829	-12.3890582299969	1.34769245332381e-32	***
df.mm.trans1:probe21	-0.62230813579733	0.0434413739737829	-14.3252406374829	5.66347373756592e-42	***
df.mm.trans1:probe22	-0.60167428236411	0.0434413739737829	-13.8502590347907	1.36161905185969e-39	***
df.mm.trans2:probe2	0.222995730748721	0.0434413739737829	5.13325685516531	3.50918868688856e-07	***
df.mm.trans2:probe3	0.128462266552705	0.0434413739737829	2.95714096497576	0.00318845594864021	** 
df.mm.trans2:probe4	0.190937638952027	0.0434413739737829	4.39529465774400	1.24188385725083e-05	***
df.mm.trans2:probe5	-0.0489348455650624	0.0434413739737829	-1.12645713265411	0.260280561785946	   
df.mm.trans2:probe6	0.133921214184604	0.0434413739737829	3.08280337232027	0.00211482620648682	** 
df.mm.trans3:probe2	-0.111799319816566	0.0434413739737829	-2.57356776707932	0.0102289953422877	*  
df.mm.trans3:probe3	0.913993587497824	0.0434413739737829	21.0397025667149	7.31015193735104e-80	***
df.mm.trans3:probe4	-0.0568382477300855	0.0434413739737829	-1.30838973381430	0.191084334232507	   
df.mm.trans3:probe5	0.298998251371757	0.0434413739737829	6.88279913872438	1.11786883949842e-11	***
df.mm.trans3:probe6	-0.0196678783028208	0.0434413739737829	-0.452745309452929	0.650844254141476	   
df.mm.trans3:probe7	0.403834252624586	0.0434413739737829	9.29607458705845	1.12913941475506e-19	***
df.mm.trans3:probe8	0.0109135423602730	0.0434413739737829	0.251224612896897	0.801699374284102	   
df.mm.trans3:probe9	0.159153518996823	0.0434413739737829	3.66363916327493	0.000263590599395092	***
df.mm.trans3:probe10	0.270665986627839	0.0434413739737829	6.23060372793888	7.20898434151693e-10	***
df.mm.trans3:probe11	0.0481048396627018	0.0434413739737829	1.10735078710294	0.268446262283049	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.97699394605222	0.163732518977927	24.2895789478959	4.78320375513359e-100	***
df.mm.trans1	0.135750943108137	0.141095594566836	0.96212035198471	0.336254649121809	   
df.mm.trans2	0.113127133359018	0.12436377573054	0.909646982768776	0.363258920036489	   
df.mm.exp2	0.33857272978783	0.159313134463690	2.12520286495898	0.0338490072263610	*  
df.mm.exp3	0.140488992440412	0.15931313446369	0.881841870184477	0.378104225483164	   
df.mm.exp4	0.20674089111526	0.15931313446369	1.29770148463421	0.194731539131467	   
df.mm.exp5	-0.01296251432811	0.15931313446369	-0.0813650071712346	0.935170262763252	   
df.mm.exp6	0.141172857454055	0.15931313446369	0.886134454194863	0.375788268969971	   
df.mm.exp7	0.202840082196192	0.15931313446369	1.27321631627568	0.203279056439833	   
df.mm.exp8	0.157041482500475	0.15931313446369	0.985740962470782	0.324532422117095	   
df.mm.trans1:exp2	-0.406899655666066	0.146879452581867	-2.77029665152973	0.00571904357304011	** 
df.mm.trans2:exp2	-0.14821988938355	0.106870499510813	-1.38691116876977	0.165821646456812	   
df.mm.trans1:exp3	-0.216807620704472	0.146879452581867	-1.47609224362835	0.14027848582795	   
df.mm.trans2:exp3	-0.0557199670637706	0.106870499510813	-0.521378372130965	0.602234996020253	   
df.mm.trans1:exp4	-0.21843848936943	0.146879452581867	-1.48719569367729	0.137322972170928	   
df.mm.trans2:exp4	-0.154693908412619	0.106870499510813	-1.44748933635299	0.148117687908496	   
df.mm.trans1:exp5	-0.0079187571033422	0.146879452581867	-0.0539133075739677	0.957016526644216	   
df.mm.trans2:exp5	-0.0590550796387439	0.106870499510813	-0.552585417950339	0.580688295831495	   
df.mm.trans1:exp6	-0.0843973242211004	0.146879452581867	-0.574602660464433	0.565707579715734	   
df.mm.trans2:exp6	-0.172217120018491	0.106870499510813	-1.61145611564272	0.107440560209982	   
df.mm.trans1:exp7	-0.255566632408542	0.146879452581867	-1.73997538740891	0.082214531563815	.  
df.mm.trans2:exp7	-0.125948171041924	0.106870499510813	-1.17851204605983	0.238912554388269	   
df.mm.trans1:exp8	-0.201478266204692	0.146879452581867	-1.37172533436828	0.170500168830087	   
df.mm.trans2:exp8	-0.0682293240828818	0.106870499510813	-0.638429916536309	0.523360728771124	   
df.mm.trans1:probe2	0.0563555607161126	0.102320713251113	0.550773728265619	0.581929225298654	   
df.mm.trans1:probe3	0.0559742682956952	0.102320713251113	0.547047284143972	0.584485573865846	   
df.mm.trans1:probe4	0.0397552842113245	0.102320713251112	0.388536034866746	0.697713802260151	   
df.mm.trans1:probe5	0.0653761566315307	0.102320713251112	0.638933746201382	0.523033054855066	   
df.mm.trans1:probe6	0.123776885640546	0.102320713251112	1.20969529734196	0.226722183620486	   
df.mm.trans1:probe7	0.131508816245907	0.102320713251113	1.28526094147879	0.199040808176585	   
df.mm.trans1:probe8	0.0666580898495189	0.102320713251112	0.651462325970388	0.514918953121144	   
df.mm.trans1:probe9	0.0691970197488353	0.102320713251113	0.676275775942003	0.499044078543788	   
df.mm.trans1:probe10	-0.0094727168787232	0.102320713251112	-0.0925786830226206	0.926259446998947	   
df.mm.trans1:probe11	-0.0206348273140172	0.102320713251112	-0.201668134030456	0.84022299603723	   
df.mm.trans1:probe12	0.137508280908047	0.102320713251112	1.34389486291576	0.179330348848201	   
df.mm.trans1:probe13	0.0394409314363523	0.102320713251113	0.385463804768029	0.699987399111945	   
df.mm.trans1:probe14	0.057326221417983	0.102320713251113	0.56026018189782	0.575445228992459	   
df.mm.trans1:probe15	0.0949312808503424	0.102320713251112	0.927781656656017	0.353776395379029	   
df.mm.trans1:probe16	0.0506199154632089	0.102320713251112	0.494718164629863	0.620923126272322	   
df.mm.trans1:probe17	0.0438489240600947	0.102320713251112	0.428543964040614	0.668360484737626	   
df.mm.trans1:probe18	0.0922111506770763	0.102320713251113	0.901197301574456	0.367731121536103	   
df.mm.trans1:probe19	-0.0521419363292154	0.102320713251113	-0.509593167135673	0.610464861364931	   
df.mm.trans1:probe20	0.173461151770505	0.102320713251112	1.69526918117548	0.0903797362309158	.  
df.mm.trans1:probe21	-0.0339705010433023	0.102320713251113	-0.332000236940617	0.739968498741015	   
df.mm.trans1:probe22	0.195157590268346	0.102320713251113	1.90731264538194	0.0568069287313386	.  
df.mm.trans2:probe2	0.0203837527809018	0.102320713251113	0.199214334353559	0.842141316252296	   
df.mm.trans2:probe3	0.0985719967504952	0.102320713251113	0.96336307301321	0.335631203012103	   
df.mm.trans2:probe4	-0.0644317347586775	0.102320713251113	-0.629703729689129	0.529052640522409	   
df.mm.trans2:probe5	-0.0109690292470420	0.102320713251113	-0.107202431438511	0.914652932787116	   
df.mm.trans2:probe6	-0.128583739379137	0.102320713251113	-1.25667360296415	0.209206839536449	   
df.mm.trans3:probe2	0.075914127030966	0.102320713251113	0.741923356658585	0.458332641987555	   
df.mm.trans3:probe3	0.045961283471845	0.102320713251113	0.449188458636407	0.653406818760075	   
df.mm.trans3:probe4	0.101769111677304	0.102320713251112	0.994609091783253	0.32020107496849	   
df.mm.trans3:probe5	0.0279391055160355	0.102320713251113	0.273054249020608	0.78487587221721	   
df.mm.trans3:probe6	0.137037173661204	0.102320713251113	1.3392906412301	0.180823455637168	   
df.mm.trans3:probe7	-0.0826955840401171	0.102320713251113	-0.808199839627466	0.419194968802151	   
df.mm.trans3:probe8	0.120292580359308	0.102320713251113	1.17564251203068	0.240057176630365	   
df.mm.trans3:probe9	-0.0590672622317739	0.102320713251113	-0.577275708456143	0.563901548790293	   
df.mm.trans3:probe10	-0.0647602406399823	0.102320713251113	-0.632914280816725	0.526954801095243	   
df.mm.trans3:probe11	0.0407515680396151	0.102320713251113	0.398272908239056	0.690526075587886