chr12.5802_chr12_80813243_80841635_+_2.R 

fitVsDatCorrelation=0.94177485801666
cont.fitVsDatCorrelation=0.264088226048948

fstatistic=9069.82399191465,50,646
cont.fstatistic=1090.96381417589,50,646

residuals=-0.588200514418306,-0.0984606840053374,-0.00613383678746909,0.0944270024298443,0.853775453300616
cont.residuals=-0.971733037126033,-0.361602197350473,-0.090651881090504,0.285268053161451,1.52356518839452

predictedValues:
Include	Exclude	Both
chr12.5802_chr12_80813243_80841635_+_2.R.tl.Lung	72.59315166456	290.710007789698	88.2176138444811
chr12.5802_chr12_80813243_80841635_+_2.R.tl.cerebhem	59.6278005418049	128.056010971557	68.9880597047268
chr12.5802_chr12_80813243_80841635_+_2.R.tl.cortex	57.91992048373	174.421756536365	77.1561415725065
chr12.5802_chr12_80813243_80841635_+_2.R.tl.heart	64.8607322638073	219.003603967004	84.5503941582262
chr12.5802_chr12_80813243_80841635_+_2.R.tl.kidney	61.7430806727998	309.112808931514	80.3137819252419
chr12.5802_chr12_80813243_80841635_+_2.R.tl.liver	57.2534880679506	314.701267096766	78.0125456401211
chr12.5802_chr12_80813243_80841635_+_2.R.tl.stomach	58.4360989819393	196.888296812856	81.0275341787193
chr12.5802_chr12_80813243_80841635_+_2.R.tl.testicle	61.2356254839901	288.863505793969	79.640080414587


diffExp=-218.116856125138,-68.4282104297521,-116.501836052635,-154.142871703197,-247.369728258714,-257.447779028815,-138.452197830917,-227.627880309979
diffExpScore=0.999300252715004
diffExp1.5=-1,-1,-1,-1,-1,-1,-1,-1
diffExp1.5Score=0.888888888888889
diffExp1.4=-1,-1,-1,-1,-1,-1,-1,-1
diffExp1.4Score=0.888888888888889
diffExp1.3=-1,-1,-1,-1,-1,-1,-1,-1
diffExp1.3Score=0.888888888888889
diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1
diffExp1.2Score=0.888888888888889

cont.predictedValues:
Include	Exclude	Both
Lung	79.1941148175974	101.451210723505	77.2978349763209
cerebhem	84.4104906997215	82.1447903840056	94.1125580552028
cortex	88.0708493363377	88.7164683371752	86.4764306456626
heart	99.7708421414473	82.3031383062231	99.9205720993915
kidney	92.3279834600461	84.3794905754903	109.960823315303
liver	75.3136678593268	103.940515361205	91.3228504390659
stomach	86.0475812130695	88.4204651658654	105.703012973565
testicle	101.411889392206	91.1926205343341	83.4060225043856
cont.diffExp=-22.2570959059080,2.26570031571586,-0.645619000837428,17.4677038352242,7.94849288455583,-28.6268475018779,-2.37288395279592,10.2192688578717
cont.diffExpScore=5.39980576329539

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,-1,0,0
cont.diffExp1.3Score=0.5
cont.diffExp1.2=-1,0,0,1,0,-1,0,0
cont.diffExp1.2Score=1.5

tran.correlation=0.304893055716231
cont.tran.correlation=-0.647924912551656

tran.covariance=0.00808923908012982
cont.tran.covariance=-0.00618708607544739

tran.mean=150.964197253769
cont.tran.mean=89.3185073942222

weightedLogRatios:
wLogRatio
Lung	-6.907584472954
cerebhem	-3.41685124582747
cortex	-5.08242893888812
heart	-5.81733245555956
kidney	-7.93820395978578
liver	-8.34950649122294
stomach	-5.67908161082928
testicle	-7.58602101069342

cont.weightedLogRatios:
wLogRatio
Lung	-1.11348695362624
cerebhem	0.120317328798624
cortex	-0.0327347457463111
heart	0.867378803309142
kidney	0.403332848610722
liver	-1.44414675031912
stomach	-0.121556819239447
testicle	0.484992617384818

varWeightedLogRatios=2.75756636430455
cont.varWeightedLogRatios=0.631233751656902

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	5.66374097221477	0.084745304057873	66.8325051774783	2.18843717073139e-292	***
df.mm.trans1	-1.65292032589864	0.0721326319309597	-22.9150147672512	1.65771673187212e-85	***
df.mm.trans2	0.140739007378337	0.0657549739743352	2.14035530503394	0.0326998765679488	*  
df.mm.exp2	-0.770733945241652	0.0858499237868138	-8.97768933558486	2.99106270744386e-18	***
df.mm.exp3	-0.602683726216799	0.0858499237868138	-7.02020106288515	5.62165462457967e-12	***
df.mm.exp4	-0.353407334947722	0.0858499237868138	-4.11657133004939	4.34410602225918e-05	***
df.mm.exp5	-0.00664320826671318	0.0858499237868138	-0.0773816443123453	0.938343903077302	   
df.mm.exp6	-0.0351474319989482	0.0858499237868138	-0.409405511951622	0.682377803730709	   
df.mm.exp7	-0.521608820914031	0.0858499237868138	-6.07582159547762	2.10744623151560e-09	***
df.mm.exp8	-0.0742242494205283	0.0858499237868138	-0.864581424729568	0.387589495593678	   
df.mm.trans1:exp2	0.573985274909556	0.0765680519503968	7.49640692545505	2.17107104139866e-13	***
df.mm.trans2:exp2	-0.049124534329552	0.0620693923485203	-0.791445388311798	0.428974624420589	   
df.mm.trans1:exp3	0.376874513737371	0.0765680519503967	4.92208570203043	1.08824579244589e-06	***
df.mm.trans2:exp3	0.0918337471994545	0.0620693923485203	1.47953353053317	0.139485247983746	   
df.mm.trans1:exp4	0.240779137984768	0.0765680519503967	3.14464233908879	0.00173918026178581	** 
df.mm.trans2:exp4	0.0701692876057554	0.0620693923485202	1.13049741508269	0.258686230455055	   
df.mm.trans1:exp5	-0.155245464077660	0.0765680519503968	-2.02754882908909	0.0430163325071660	*  
df.mm.trans2:exp5	0.0680232624947669	0.0620693923485203	1.09592280383245	0.273520949281323	   
df.mm.trans1:exp6	-0.202234588163741	0.0765680519503967	-2.64123982538768	0.00846013964193742	** 
df.mm.trans2:exp6	0.114445028931849	0.0620693923485203	1.84382389776331	0.0656665954977954	.  
df.mm.trans1:exp7	0.304672065342762	0.0765680519503967	3.97910169557583	7.70126187440672e-05	***
df.mm.trans2:exp7	0.131919134086734	0.0620693923485203	2.12534921150841	0.0339363262684659	*  
df.mm.trans1:exp8	-0.09591720236554	0.0765680519503967	-1.25270527226784	0.210766263516843	   
df.mm.trans2:exp8	0.0678522941808274	0.0620693923485202	1.09316833327183	0.274727372924329	   
df.mm.trans1:probe2	-0.00390537025777763	0.0513634107197467	-0.0760340912539168	0.939415516499958	   
df.mm.trans1:probe3	0.26838867810981	0.0513634107197467	5.22528925452818	2.34957605801333e-07	***
df.mm.trans1:probe4	0.372814165742967	0.0513634107197467	7.25836077703535	1.12860139245033e-12	***
df.mm.trans1:probe5	0.488099595971654	0.0513634107197467	9.5028657390932	3.91935190789071e-20	***
df.mm.trans1:probe6	0.268187975373581	0.0513634107197468	5.22138175046221	2.39764997501055e-07	***
df.mm.trans1:probe7	0.299070634519757	0.0513634107197467	5.82263970263912	9.13104500260385e-09	***
df.mm.trans1:probe8	0.408543609016353	0.0513634107197468	7.95398131260172	8.10342421846169e-15	***
df.mm.trans1:probe9	1.01519922652490	0.0513634107197467	19.7650275224929	2.30429642579716e-68	***
df.mm.trans1:probe10	1.00973705129749	0.0513634107197467	19.6586838208020	8.55954938972714e-68	***
df.mm.trans1:probe11	0.73263000697875	0.0513634107197467	14.2636557174169	2.50132021881015e-40	***
df.mm.trans1:probe12	0.393378220003264	0.0513634107197467	7.65872465420271	6.88439381427916e-14	***
df.mm.trans1:probe13	0.342700509864504	0.0513634107197467	6.67207463566574	5.4276591346504e-11	***
df.mm.trans1:probe14	0.708304348503546	0.0513634107197467	13.7900567461973	4.17511748348589e-38	***
df.mm.trans2:probe2	-0.321333217217597	0.0513634107197467	-6.2560724203243	7.18636046345155e-10	***
df.mm.trans2:probe3	-0.130038475296993	0.0513634107197467	-2.5317336499813	0.0115859448525574	*  
df.mm.trans2:probe4	-0.421528226273115	0.0513634107197467	-8.20678028126075	1.23317785725323e-15	***
df.mm.trans2:probe5	-0.719114328840053	0.0513634107197467	-14.0005174649274	4.34383992971758e-39	***
df.mm.trans2:probe6	-0.390291943867825	0.0513634107197467	-7.59863759821885	1.05564350237709e-13	***
df.mm.trans3:probe2	0.0983143320905945	0.0513634107197467	1.91409275032426	0.0560498403612504	.  
df.mm.trans3:probe3	0.209660308821961	0.0513634107197467	4.08190005071757	5.02685255179201e-05	***
df.mm.trans3:probe4	0.315974714123913	0.0513634107197467	6.1517471230242	1.34383010784945e-09	***
df.mm.trans3:probe5	0.180855171875545	0.0513634107197467	3.52108961109186	0.000460023571380944	***
df.mm.trans3:probe6	0.474011995984026	0.0513634107197467	9.22859267602708	3.85786847310734e-19	***
df.mm.trans3:probe7	0.680270011242983	0.0513634107197467	13.244253092045	1.35413207225024e-35	***
df.mm.trans3:probe8	0.51958582556216	0.0513634107197467	10.1158746718976	1.98338784954175e-22	***
df.mm.trans3:probe9	0.47555057579009	0.0513634107197467	9.25854745871197	3.01252941955765e-19	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.60365443145011	0.243087426620854	18.9382663490468	5.92031412529452e-64	***
df.mm.trans1	-0.286187750278982	0.206908643097343	-1.38315995888263	0.167093665339462	   
df.mm.trans2	0.0125503135088456	0.188614668253792	0.0665394352678786	0.946968949756117	   
df.mm.exp2	-0.344130415661764	0.246255969943556	-1.39745004249295	0.162758019214132	   
df.mm.exp3	-0.140098808123062	0.246255969943555	-0.568915377585261	0.569611302023625	   
df.mm.exp4	-0.234904415641106	0.246255969943555	-0.953903435092147	0.340489318881716	   
df.mm.exp5	-0.383266547747573	0.246255969943556	-1.55637464478697	0.120108778848617	   
df.mm.exp6	-0.192734678140617	0.246255969943555	-0.782659921644918	0.434113645013912	   
df.mm.exp7	-0.367443576454242	0.246255969943556	-1.49212048153985	0.136155737185055	   
df.mm.exp8	0.0646297547867573	0.246255969943555	0.262449494327269	0.793058589860695	   
df.mm.trans1:exp2	0.407920118728663	0.219631411048842	1.85729407638304	0.0637242177504855	.  
df.mm.trans2:exp2	0.133035841846566	0.17804277211181	0.747212820091458	0.455206986695085	   
df.mm.trans1:exp3	0.246338416571158	0.219631411048842	1.12159920748484	0.262449623489786	   
df.mm.trans2:exp3	0.00596634314316412	0.17804277211181	0.0335107293174321	0.973277661081544	   
df.mm.trans1:exp4	0.46587840515848	0.219631411048842	2.12118295344775	0.0342866368486519	*  
df.mm.trans2:exp4	0.0257356547250814	0.17804277211181	0.144547596174921	0.885113158132376	   
df.mm.trans1:exp5	0.536711834521442	0.219631411048842	2.44369342234971	0.0148042939447475	*  
df.mm.trans2:exp5	0.199012916769565	0.17804277211181	1.11778149940614	0.264075841197071	   
df.mm.trans1:exp6	0.142494320350397	0.219631411048842	0.648788439094026	0.516705698709315	   
df.mm.trans2:exp6	0.216975445575430	0.17804277211181	1.21867033972696	0.223414185131480	   
df.mm.trans1:exp7	0.450442001428994	0.219631411048842	2.0508997291322	0.0406795712423603	*  
df.mm.trans2:exp7	0.229969025315639	0.17804277211181	1.29165044212646	0.196940160802346	   
df.mm.trans1:exp8	0.182658593684622	0.219631411048842	0.831659701189108	0.40590835729706	   
df.mm.trans2:exp8	-0.171233776563909	0.17804277211181	-0.961756405681973	0.336531828494176	   
df.mm.trans1:probe2	0.0325105370595008	0.147333229529823	0.220659909263172	0.825426969872662	   
df.mm.trans1:probe3	0.0320625378262774	0.147333229529823	0.217619188343301	0.827794550424273	   
df.mm.trans1:probe4	0.00644873454628039	0.147333229529823	0.0437697223284924	0.965101487492463	   
df.mm.trans1:probe5	0.167109840105424	0.147333229529823	1.13423048309410	0.257118589121695	   
df.mm.trans1:probe6	0.0470671782563912	0.147333229529823	0.31946071097874	0.749480459802918	   
df.mm.trans1:probe7	0.125770754914755	0.147333229529823	0.853648259229238	0.393616329383164	   
df.mm.trans1:probe8	0.0705522802297978	0.147333229529823	0.478861967900572	0.632198869031733	   
df.mm.trans1:probe9	0.0830131656623657	0.147333229529823	0.563438172958547	0.573332067067541	   
df.mm.trans1:probe10	0.271918669782728	0.147333229529823	1.84560313142180	0.0654072619996941	.  
df.mm.trans1:probe11	0.153056971772538	0.147333229529823	1.03884895662018	0.299263656484952	   
df.mm.trans1:probe12	0.195506226149953	0.147333229529823	1.32696627077178	0.184988668090534	   
df.mm.trans1:probe13	-0.0638433346811157	0.147333229529823	-0.433326106302398	0.664922526311422	   
df.mm.trans1:probe14	0.130838500057512	0.147333229529823	0.888044743708192	0.374847205363705	   
df.mm.trans2:probe2	-0.167201490444964	0.147333229529823	-1.13485254466047	0.256858008171434	   
df.mm.trans2:probe3	0.113397008723128	0.147333229529823	0.769663497399777	0.441780863736577	   
df.mm.trans2:probe4	0.0188065032435923	0.147333229529823	0.127646039549995	0.898468818630588	   
df.mm.trans2:probe5	0.0924386608514208	0.147333229529823	0.627412167278323	0.53061078902176	   
df.mm.trans2:probe6	-0.00684185090867912	0.147333229529823	-0.0464379348128943	0.962975553205708	   
df.mm.trans3:probe2	0.177106399910384	0.147333229529823	1.20208048432505	0.229772801508680	   
df.mm.trans3:probe3	-0.155510455847345	0.147333229529823	-1.05550157519534	0.291590569061594	   
df.mm.trans3:probe4	-0.0438527248750529	0.147333229529823	-0.297643138720286	0.766071239163368	   
df.mm.trans3:probe5	0.131798545891899	0.147333229529823	0.894560896496333	0.371355030863920	   
df.mm.trans3:probe6	0.0524273661504757	0.147333229529823	0.355842102408156	0.722074987055465	   
df.mm.trans3:probe7	-0.0524116461787992	0.147333229529823	-0.355735405692645	0.722154859222176	   
df.mm.trans3:probe8	0.00794244510615185	0.147333229529823	0.0539080364388819	0.957025100383801	   
df.mm.trans3:probe9	0.0413406419181547	0.147333229529823	0.280592789895959	0.779112583091038