chr12.5716_chr12_78362244_78363224_+_2.R 

fitVsDatCorrelation=0.889017226567975
cont.fitVsDatCorrelation=0.29590877758963

fstatistic=11187.4819091861,49,623
cont.fstatistic=2560.7240165176,49,623

residuals=-0.638554907247706,-0.0806152758148132,-0.00420087107276781,0.0788163409533144,0.771576004999683
cont.residuals=-0.526532376186972,-0.174217421481985,-0.0596706032044036,0.0947296172111243,1.35386515251487

predictedValues:
Include	Exclude	Both
chr12.5716_chr12_78362244_78363224_+_2.R.tl.Lung	48.9929131557561	54.2618862122763	108.576116397451
chr12.5716_chr12_78362244_78363224_+_2.R.tl.cerebhem	55.2059548778818	72.7231147659308	83.5155673512643
chr12.5716_chr12_78362244_78363224_+_2.R.tl.cortex	49.4814463113881	61.1743223417008	164.420914481327
chr12.5716_chr12_78362244_78363224_+_2.R.tl.heart	49.669150556561	54.7525496797128	111.570415596739
chr12.5716_chr12_78362244_78363224_+_2.R.tl.kidney	46.737473554079	55.3645793341586	76.5580902850572
chr12.5716_chr12_78362244_78363224_+_2.R.tl.liver	51.4344377679393	56.4504416212143	79.8318110525625
chr12.5716_chr12_78362244_78363224_+_2.R.tl.stomach	48.6966067078672	57.8242755176474	107.621821493412
chr12.5716_chr12_78362244_78363224_+_2.R.tl.testicle	50.3439071591742	60.724385887659	114.782597957873


diffExp=-5.26897305652012,-17.5171598880490,-11.6928760303127,-5.08339912315179,-8.62710578007957,-5.016003853275,-9.12766880978018,-10.3804787284848
diffExpScore=0.986433994343628
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,-1,0,0,0,0,0,0
diffExp1.3Score=0.5
diffExp1.2=0,-1,-1,0,0,0,0,-1
diffExp1.2Score=0.75

cont.predictedValues:
Include	Exclude	Both
Lung	54.260956270021	53.7804423216557	52.1510263233913
cerebhem	56.2994968002605	50.206485969648	43.1387630297494
cortex	54.7953837678861	53.1872068008712	54.9213608416847
heart	56.786451020811	53.810076837563	56.2227846640485
kidney	53.3071852964421	56.2291863453005	57.1533759859672
liver	58.4467942456112	48.9728224350121	67.9395706229458
stomach	57.287085620261	52.5151799658584	48.7674421106405
testicle	54.2458355833682	54.3569077288952	56.8000341402107
cont.diffExp=0.48051394836525,6.09301083061249,1.60817696701491,2.97637418324797,-2.92200104885845,9.47397181059906,4.7719056544026,-0.111072145527018
cont.diffExpScore=1.21677174096344

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=0.824625962518354
cont.tran.correlation=-0.814560951143973

tran.covariance=0.00375865736900899
cont.tran.covariance=-0.00115363822505851

tran.mean=54.6148403406842
cont.tran.mean=54.2804685630916

weightedLogRatios:
wLogRatio
Lung	-0.402737645628203
cerebhem	-1.14337931249595
cortex	-0.850144495341596
heart	-0.385287535647036
kidney	-0.665589242230386
liver	-0.370995658655970
stomach	-0.68230258366876
testicle	-0.752235285215302

cont.weightedLogRatios:
wLogRatio
Lung	0.0354855553811063
cerebhem	0.455120412470434
cortex	0.118815985432040
heart	0.216014491908889
kidney	-0.213606227973171
liver	0.703813717273964
stomach	0.348290882369023
testicle	-0.0081707563740134

varWeightedLogRatios=0.071989641975958
cont.varWeightedLogRatios=0.0841190935498953

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.46699021555958	0.0753550941495736	46.008703919577	1.56277668045529e-202	***
df.mm.trans1	0.524051814264165	0.0674319169852235	7.77156927600029	3.21191399146321e-14	***
df.mm.trans2	0.522422664356553	0.0623467946501005	8.37930269372254	3.53908938996334e-16	***
df.mm.exp2	0.674650790482293	0.0854991902899485	7.89072724775976	1.35521253065999e-14	***
df.mm.exp3	-0.285150649004089	0.0854991902899485	-3.33512689461823	0.000903234167476	***
df.mm.exp4	-0.00449422389425449	0.0854991902899485	-0.0525645199564287	0.95809573667431	   
df.mm.exp5	0.322390232087721	0.0854991902899485	3.77068169879057	0.000178300955199921	***
df.mm.exp6	0.395702730979413	0.0854991902899485	4.62814594661645	4.49115539563816e-06	***
df.mm.exp7	0.0663483335690747	0.0854991902899485	0.7760112504466	0.438036830798596	   
df.mm.exp8	0.0841368106147396	0.0854991902899485	0.984065583889289	0.325465274576062	   
df.mm.trans1:exp2	-0.555255622971598	0.0813259518306834	-6.82753303800996	2.05483153419460e-11	***
df.mm.trans2:exp2	-0.381813578324207	0.0714526047566819	-5.34359215628877	1.27972036872564e-07	***
df.mm.trans1:exp3	0.295072768146842	0.0813259518306834	3.62827315887024	0.000308712750697154	***
df.mm.trans2:exp3	0.405056111789734	0.0714526047566819	5.66887817692685	2.19972026151843e-08	***
df.mm.trans1:exp4	0.0182025929506	0.0813259518306834	0.223822685635415	0.822968653573444	   
df.mm.trans2:exp4	0.0134960918903707	0.0714526047566819	0.188881734071544	0.85024702334324	   
df.mm.trans1:exp5	-0.369519615800503	0.0813259518306834	-4.54368633237548	6.64036623508747e-06	***
df.mm.trans2:exp5	-0.302272274121598	0.0714526047566819	-4.23038845331011	2.68344311923953e-05	***
df.mm.trans1:exp6	-0.347070445556279	0.0813259518306834	-4.26764689184164	2.28302301067562e-05	***
df.mm.trans2:exp6	-0.356161686295094	0.0714526047566819	-4.98458646130445	8.05788810014848e-07	***
df.mm.trans1:exp7	-0.0724146415410542	0.0813259518306834	-0.890424764923967	0.373581572297109	   
df.mm.trans2:exp7	-0.00276172351639201	0.0714526047566819	-0.0386511244173187	0.969180923324348	   
df.mm.trans1:exp8	-0.0569348666971276	0.0813259518306834	-0.70008238963699	0.484137190375971	   
df.mm.trans2:exp8	0.0283864821068698	0.0714526047566819	0.397277079030702	0.691299216650551	   
df.mm.trans1:probe2	-0.0355403983690960	0.0406629759153417	-0.874023545229188	0.382442216810931	   
df.mm.trans1:probe3	-0.155626855431588	0.0406629759153417	-3.82723723309368	0.000142666281306267	***
df.mm.trans1:probe4	-0.110617677060059	0.0406629759153417	-2.72035370186284	0.00670321500972707	** 
df.mm.trans1:probe5	0.236036706181217	0.0406629759153417	5.80470811267315	1.02733806081787e-08	***
df.mm.trans1:probe6	-0.104652616247680	0.0406629759153417	-2.57365856511735	0.0102929856531642	*  
df.mm.trans1:probe7	-0.214222241050191	0.0406629759153417	-5.26823815099492	1.90008964868609e-07	***
df.mm.trans1:probe8	-0.177513457993295	0.0406629759153417	-4.36548122702256	1.48498019769326e-05	***
df.mm.trans1:probe9	-0.140964478874510	0.0406629759153417	-3.46665426475404	0.000563236351119898	***
df.mm.trans1:probe10	-0.175021243187803	0.0406629759153417	-4.30419169399181	1.94608279010630e-05	***
df.mm.trans1:probe11	-0.145958897742403	0.0406629759153417	-3.58947899057564	0.000357396967129559	***
df.mm.trans1:probe12	-0.130800723257211	0.0406629759153417	-3.21670316332802	0.00136390674874447	** 
df.mm.trans1:probe13	-0.127754457958960	0.0406629759153417	-3.14178820126048	0.00175883252826747	** 
df.mm.trans1:probe14	-0.0669166832088977	0.0406629759153417	-1.64564156219690	0.100341951488086	   
df.mm.trans1:probe15	-0.196352075352867	0.0406629759153417	-4.82876796232677	1.73071297834851e-06	***
df.mm.trans1:probe16	-0.155107782551366	0.0406629759153417	-3.81447198735017	0.000150066749304622	***
df.mm.trans1:probe17	-0.195422783497989	0.0406629759153417	-4.80591444917482	1.93267740982242e-06	***
df.mm.trans1:probe18	-0.144100528009486	0.0406629759153417	-3.54377722647492	0.000423964992584161	***
df.mm.trans1:probe19	-0.145523982629192	0.0406629759153417	-3.57878338595201	0.000372034225092991	***
df.mm.trans2:probe2	0.0908587644561874	0.0406629759153417	2.23443470161532	0.0258083640286115	*  
df.mm.trans2:probe3	0.0245226252515579	0.0406629759153417	0.6030701073776	0.546681524952588	   
df.mm.trans2:probe4	0.0222927705892572	0.0406629759153417	0.548232638842509	0.583728558636475	   
df.mm.trans2:probe5	0.0088844618262317	0.0406629759153417	0.218490202112327	0.827118743229754	   
df.mm.trans2:probe6	-0.106875919390709	0.0406629759153417	-2.62833491609713	0.00879190289794592	** 
df.mm.trans3:probe2	0.297798977088492	0.0406629759153417	7.32359032719333	7.49660558103754e-13	***
df.mm.trans3:probe3	0.224161322284288	0.0406629759153417	5.5126639710527	5.18108220414732e-08	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.88461541795516	0.157205795172345	24.7103830599657	1.73142890145072e-94	***
df.mm.trans1	0.056723679133529	0.140676463207864	0.403220822019913	0.686924125624001	   
df.mm.trans2	0.0657384938551957	0.130067881143659	0.505416812184309	0.61344486952986	   
df.mm.exp2	0.157836906147572	0.178368408238517	0.88489272122959	0.376555883066772	   
df.mm.exp3	-0.0530494577646439	0.178368408238517	-0.297415098831321	0.766248761286874	   
df.mm.exp4	-0.0291345303674784	0.178368408238517	-0.163339072514003	0.870304442135593	   
df.mm.exp5	-0.0648023230438134	0.178368408238517	-0.363306056738247	0.716499508677778	   
df.mm.exp6	-0.283807247304689	0.178368408238517	-1.59112956216539	0.112087683062243	   
df.mm.exp7	0.097543621236607	0.178368408238517	0.546866018483331	0.584666599725768	   
df.mm.exp8	-0.0750099430431883	0.178368408238517	-0.420533791740093	0.674240563157271	   
df.mm.trans1:exp2	-0.120956239794294	0.169662198288990	-0.712923921852449	0.476159773273444	   
df.mm.trans2:exp2	-0.226602560669694	0.149064421917029	-1.52016529333756	0.128976769549611	   
df.mm.trans1:exp3	0.0628504794340996	0.169662198288990	0.370444801894202	0.7111770092863	   
df.mm.trans2:exp3	0.041957476069478	0.149064421917029	0.281472101322957	0.778441787173751	   
df.mm.trans1:exp4	0.0746273583497648	0.169662198288990	0.439858490001705	0.660192148785283	   
df.mm.trans2:exp4	0.0296854063533604	0.149064421917029	0.199144812501830	0.84221444347152	   
df.mm.trans1:exp5	0.0470685227693829	0.169662198288990	0.277424925788183	0.781545875364247	   
df.mm.trans2:exp5	0.109328399669365	0.149064421917029	0.733430541395172	0.463571769742974	   
df.mm.trans1:exp6	0.358119156697323	0.169662198288990	2.11077753506017	0.0351892894625596	*  
df.mm.trans2:exp6	0.190162871903404	0.149064421917029	1.27570931720549	0.202533735743886	   
df.mm.trans1:exp7	-0.0432733356875895	0.169662198288990	-0.255055846994750	0.798764140092423	   
df.mm.trans2:exp7	-0.121351226682256	0.149064421917029	-0.814085783325287	0.415906856144181	   
df.mm.trans1:exp8	0.0747312381530624	0.169662198288990	0.440470764299369	0.659748969288424	   
df.mm.trans2:exp8	0.0856717702055364	0.149064421917029	0.574729832268242	0.565681503968328	   
df.mm.trans1:probe2	0.158784980332234	0.0848310991444948	1.87177794386198	0.0617056686311168	.  
df.mm.trans1:probe3	-0.128000637202074	0.0848310991444948	-1.50888811406354	0.131834330473092	   
df.mm.trans1:probe4	0.040446690723526	0.0848310991444948	0.476790836514238	0.63367826196854	   
df.mm.trans1:probe5	0.172356353676387	0.0848310991444948	2.03175905316054	0.0426018982970415	*  
df.mm.trans1:probe6	-0.0290482484182726	0.0848310991444948	-0.342424520149079	0.732146930146658	   
df.mm.trans1:probe7	0.0993511430281175	0.0848310991444948	1.17116416066813	0.241980536054836	   
df.mm.trans1:probe8	0.0309501375279435	0.0848310991444948	0.364844235664392	0.715351496618088	   
df.mm.trans1:probe9	0.0566210692220609	0.0848310991444948	0.667456508203636	0.50472773448594	   
df.mm.trans1:probe10	0.068089799245296	0.0848310991444948	0.802651385305253	0.42248234448443	   
df.mm.trans1:probe11	0.04391757391945	0.0848310991444948	0.517706057829619	0.604847148252821	   
df.mm.trans1:probe12	0.101438146152058	0.0848310991444948	1.19576602419446	0.232242805145590	   
df.mm.trans1:probe13	0.0935666274131856	0.0848310991444948	1.10297554030051	0.270463661000352	   
df.mm.trans1:probe14	0.164431185655505	0.0848310991444948	1.93833614457152	0.0530336103672366	.  
df.mm.trans1:probe15	0.0480664797841519	0.0848310991444948	0.566613898309618	0.571180595232966	   
df.mm.trans1:probe16	0.0795076583486914	0.0848310991444948	0.937246589405427	0.348994912981954	   
df.mm.trans1:probe17	-0.0237321802530606	0.0848310991444948	-0.279758019080209	0.779756018484867	   
df.mm.trans1:probe18	0.145241709241804	0.0848310991444948	1.71212810757538	0.0873707019440318	.  
df.mm.trans1:probe19	0.0322598559802102	0.0848310991444948	0.380283366660866	0.703864697018919	   
df.mm.trans2:probe2	0.188338437194404	0.0848310991444948	2.22015792667738	0.0267671457453555	*  
df.mm.trans2:probe3	0.0254118768403007	0.0848310991444948	0.299558500320927	0.764613854587401	   
df.mm.trans2:probe4	-0.00727122875699649	0.0848310991444948	-0.0857141877250846	0.931721161989655	   
df.mm.trans2:probe5	0.0549381322564033	0.0848310991444948	0.647617828961828	0.517470735033072	   
df.mm.trans2:probe6	0.0495864552812188	0.0848310991444948	0.584531566622248	0.559074344089623	   
df.mm.trans3:probe2	-0.0631426641281748	0.0848310991444948	-0.744333914860898	0.456955144541104	   
df.mm.trans3:probe3	-0.0956585242887821	0.0848310991444948	-1.12763509200611	0.259908153815356