chr1.1037_chr1_83610207_83612416_+_2.R 

fitVsDatCorrelation=0.906620662319447
cont.fitVsDatCorrelation=0.275714018511300

fstatistic=7800.66566796003,57,807
cont.fstatistic=1491.65445388033,57,807

residuals=-0.920605105208071,-0.0991392201165574,-0.00215397552863098,0.100059062282874,1.34958395421824
cont.residuals=-0.906638555499684,-0.287390896430965,-0.0553937186383232,0.226681434181683,1.84007867775897

predictedValues:
Include	Exclude	Both
chr1.1037_chr1_83610207_83612416_+_2.R.tl.Lung	58.3414796130003	84.811136624474	104.078738784761
chr1.1037_chr1_83610207_83612416_+_2.R.tl.cerebhem	64.8711724241387	84.5081588706641	125.106135101669
chr1.1037_chr1_83610207_83612416_+_2.R.tl.cortex	56.6358029182174	72.9578751621637	227.269310655342
chr1.1037_chr1_83610207_83612416_+_2.R.tl.heart	55.3688977456583	69.3638945051798	174.551525296603
chr1.1037_chr1_83610207_83612416_+_2.R.tl.kidney	58.1934657527443	84.4222650899848	106.619180781378
chr1.1037_chr1_83610207_83612416_+_2.R.tl.liver	61.30143506554	82.903487557688	79.0917621164785
chr1.1037_chr1_83610207_83612416_+_2.R.tl.stomach	59.2941538313954	70.1819624510722	102.068001965759
chr1.1037_chr1_83610207_83612416_+_2.R.tl.testicle	56.5835328025263	69.926016679744	92.9999733463036


diffExp=-26.4696570114736,-19.6369864465254,-16.3220722439463,-13.9949967595215,-26.2287993372405,-21.602052492148,-10.8878086196768,-13.3424838772178
diffExpScore=0.993310359179593
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=-1,0,0,0,-1,0,0,0
diffExp1.4Score=0.666666666666667
diffExp1.3=-1,-1,0,0,-1,-1,0,0
diffExp1.3Score=0.8
diffExp1.2=-1,-1,-1,-1,-1,-1,0,-1
diffExp1.2Score=0.875

cont.predictedValues:
Include	Exclude	Both
Lung	71.0532330683153	72.2755305856247	87.7367625154993
cerebhem	73.00053970486	64.271410777631	90.435901634695
cortex	70.2829315014865	60.2215387085797	66.0825762878147
heart	66.7313759853912	58.1557480003595	81.2229135668592
kidney	72.3141779674149	75.4118720456436	84.2823774884562
liver	69.606726113108	68.8745128177657	74.684757376856
stomach	76.5570234478977	70.3839150510024	63.0563472942284
testicle	73.8299692384478	70.4082202281728	73.2233085655607
cont.diffExp=-1.22229751730933,8.72912892722903,10.0613927929067,8.5756279850317,-3.0976940782287,0.732213295342262,6.17310839689539,3.42174901027499
cont.diffExpScore=1.22226550880135

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=0.633567315336264
cont.tran.correlation=0.571440183550917

tran.covariance=0.00310626764398000
cont.tran.covariance=0.00225287747967418

tran.mean=68.104046068387
cont.tran.mean=69.5861703276063

weightedLogRatios:
wLogRatio
Lung	-1.59124332703197
cerebhem	-1.13833564403279
cortex	-1.05430806280297
heart	-0.929943729308756
kidney	-1.58117328247463
liver	-1.28801740607641
stomach	-0.702441891882356
testicle	-0.876853941513888

cont.weightedLogRatios:
wLogRatio
Lung	-0.0728636666073746
cerebhem	0.538289951605156
cortex	0.645076093734622
heart	0.568345012106986
kidney	-0.18044495612216
liver	0.0448123766287785
stomach	0.361169514997206
testicle	0.203013046553647

varWeightedLogRatios=0.104587453556961
cont.varWeightedLogRatios=0.0978985987738778

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.77091629838876	0.0898816128930838	41.9542571279217	5.48662854074114e-205	***
df.mm.trans1	0.163049846579623	0.0780503485539524	2.08903418883408	0.0370173840842468	*  
df.mm.trans2	0.710458364003853	0.0693755476492898	10.2407604419268	3.19073934148045e-23	***
df.mm.exp2	-0.081503504888111	0.0901670023979938	-0.903917206078977	0.366309052252299	   
df.mm.exp3	-0.961204609117438	0.0901670023979938	-10.6602702047775	6.48448276475773e-25	***
df.mm.exp4	-0.770427940271908	0.0901670023979938	-8.54445550791706	6.4026412600359e-17	***
df.mm.exp5	-0.0312516524139054	0.0901670023979938	-0.346597442332193	0.728984120190842	   
df.mm.exp6	0.301279187810822	0.0901670023979937	3.34134638834934	0.000872068128386913	***
df.mm.exp7	-0.153629701310896	0.0901670023979938	-1.70383507519503	0.0887968761211064	.  
df.mm.exp8	-0.111035896929385	0.0901670023979938	-1.23144713671722	0.218514410591832	   
df.mm.trans1:exp2	0.187593519377319	0.0838683291693007	2.23676233013577	0.0255742942369648	*  
df.mm.trans2:exp2	0.0779247269786798	0.0641148876175506	1.21539208558714	0.224572028374843	   
df.mm.trans1:exp3	0.931532628723357	0.0838683291693007	11.1070846164459	9.01680435510797e-27	***
df.mm.trans2:exp3	0.810659968839942	0.0641148876175506	12.6438647709340	1.46028852284964e-33	***
df.mm.trans1:exp4	0.718132637827122	0.0838683291693007	8.56262006099423	5.54203507375367e-17	***
df.mm.trans2:exp4	0.569367558025976	0.0641148876175506	8.88042667129497	4.26140909912228e-18	***
df.mm.trans1:exp5	0.0287114025449185	0.0838683291693007	0.342339031065711	0.732184904914435	   
df.mm.trans2:exp5	0.0266559613153937	0.0641148876175506	0.415753069308930	0.677701231657735	   
df.mm.trans1:exp6	-0.251789260625603	0.0838683291693007	-3.00219717168001	0.00276305567869995	** 
df.mm.trans2:exp6	-0.324028919394925	0.0641148876175506	-5.05387955021894	5.35843830982383e-07	***
df.mm.trans1:exp7	0.169827090123758	0.0838683291693007	2.02492516312011	0.0432038454389384	*  
df.mm.trans2:exp7	-0.0357058281086898	0.0641148876175506	-0.556903855492618	0.577747528588906	   
df.mm.trans1:exp8	0.0804405739088514	0.0838683291693007	0.959129324568635	0.337780861108504	   
df.mm.trans2:exp8	-0.0819531868077031	0.0641148876175506	-1.2782239796872	0.201537978540051	   
df.mm.trans1:probe2	0.557516552144274	0.0549047095468276	10.1542573805763	7.02189262471607e-23	***
df.mm.trans1:probe3	0.505712165557736	0.0549047095468276	9.2107247216456	2.73805524339054e-19	***
df.mm.trans1:probe4	0.0195854903949923	0.0549047095468276	0.356717858206462	0.721396284138234	   
df.mm.trans1:probe5	-0.00855856015043855	0.0549047095468276	-0.155880255465864	0.876166392268772	   
df.mm.trans1:probe6	-0.0195293980280582	0.0549047095468276	-0.355696226958486	0.722161026780496	   
df.mm.trans1:probe7	0.278018146073233	0.0549047095468276	5.06364842593538	5.09892065339492e-07	***
df.mm.trans1:probe8	-0.130611103464252	0.0549047095468276	-2.37886885373385	0.0175975465812376	*  
df.mm.trans1:probe9	0.370308092030575	0.0549047095468276	6.74455971240033	2.92574967314149e-11	***
df.mm.trans1:probe10	0.169265528382148	0.0549047095468276	3.08289634494439	0.00211971329070077	** 
df.mm.trans1:probe11	-0.123940738815443	0.0549047095468276	-2.25737900880317	0.0242509608074194	*  
df.mm.trans1:probe12	0.0619716621563266	0.0549047095468276	1.12871304971519	0.259354324718355	   
df.mm.trans1:probe13	-0.128196325074644	0.0549047095468276	-2.33488759220750	0.0197936270458126	*  
df.mm.trans1:probe14	-0.170797870898084	0.0549047095468276	-3.11080547202262	0.00193141990084626	** 
df.mm.trans1:probe15	-0.124511815682890	0.0549047095468276	-2.2677802452756	0.0236061953421599	*  
df.mm.trans1:probe16	-0.0280477848153185	0.0549047095468276	-0.51084478994278	0.609599459250596	   
df.mm.trans1:probe17	0.647125174107877	0.0549047095468276	11.7863327107841	1.06784242151150e-29	***
df.mm.trans1:probe18	0.603417879695779	0.0549047095468276	10.9902754185619	2.79136975201646e-26	***
df.mm.trans1:probe19	0.349960032836336	0.0549047095468276	6.37395290358214	3.09577233842976e-10	***
df.mm.trans1:probe20	0.60552301789302	0.0549047095468276	11.0286170875119	1.92814982303274e-26	***
df.mm.trans1:probe21	0.38474495146049	0.0549047095468276	7.00750363012749	5.12207100552152e-12	***
df.mm.trans1:probe22	0.151460335557501	0.0549047095468276	2.75860371191514	0.00593625836455134	** 
df.mm.trans2:probe2	0.115618665822965	0.0549047095468276	2.10580598235120	0.0355295717863279	*  
df.mm.trans2:probe3	-0.158198908054568	0.0549047095468276	-2.88133585188428	0.0040649512352261	** 
df.mm.trans2:probe4	-0.00149698873918667	0.0549047095468276	-0.0272652155259997	0.978254941305041	   
df.mm.trans2:probe5	-0.254188628833144	0.0549047095468276	-4.62963252025493	4.26759744824956e-06	***
df.mm.trans2:probe6	-0.275003341578455	0.0549047095468276	-5.00873866464785	6.73275090023011e-07	***
df.mm.trans3:probe2	0.068975320536432	0.0549047095468276	1.25627329796916	0.209380446577731	   
df.mm.trans3:probe3	-0.192052656044039	0.0549047095468276	-3.49792681956071	0.000494537254626165	***
df.mm.trans3:probe4	0.430508833639034	0.0549047095468276	7.8410183241541	1.41306315670663e-14	***
df.mm.trans3:probe5	0.156750055116972	0.0549047095468276	2.85494735170726	0.0044147723649799	** 
df.mm.trans3:probe6	-0.12135553374086	0.0549047095468276	-2.21029370235275	0.0273646647826294	*  
df.mm.trans3:probe7	-0.0614327738490842	0.0549047095468276	-1.11889807552281	0.263516556333269	   
df.mm.trans3:probe8	-0.275607586375831	0.0549047095468276	-5.01974400102724	6.3692795323922e-07	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.11811851778403	0.204759951760725	20.1119334243461	3.08637035308356e-73	***
df.mm.trans1	0.0878242478691811	0.177807062984345	0.493930029522582	0.621490002611263	   
df.mm.trans2	0.132015992601077	0.158044936364682	0.835306689588936	0.403792277741137	   
df.mm.exp2	-0.120633576533662	0.205410099653908	-0.587281622164224	0.557178851738837	   
df.mm.exp3	0.0900799422420373	0.205410099653908	0.438537065089844	0.661114379437852	   
df.mm.exp4	-0.202971415631659	0.205410099653909	-0.988127730689197	0.323386264408729	   
df.mm.exp5	0.100238137663966	0.205410099653908	0.487990307355168	0.625689260563445	   
df.mm.exp6	0.0922973858365079	0.205410099653908	0.449332267459185	0.653312632188149	   
df.mm.exp7	0.378397906950095	0.205410099653909	1.84215823656018	0.0658187266273648	.  
df.mm.exp8	0.192986973786245	0.205410099653909	0.939520374662223	0.347744754773867	   
df.mm.trans1:exp2	0.147671053235861	0.191061046661302	0.772899844402298	0.439807969084672	   
df.mm.trans2:exp2	0.00326285739058277	0.146060588736099	0.0223390677719235	0.98218300727875	   
df.mm.trans1:exp3	-0.100980325683493	0.191061046661302	-0.528523879922541	0.597281093198476	   
df.mm.trans2:exp3	-0.272535497141477	0.146060588736099	-1.86590715195522	0.0624169459314425	.  
df.mm.trans1:exp4	0.140217304890144	0.191061046661302	0.733887452939114	0.463230491820312	   
df.mm.trans2:exp4	-0.0143894915561377	0.146060588736099	-0.0985172775260857	0.921546017826807	   
df.mm.trans1:exp5	-0.0826472862259233	0.191061046661302	-0.432570048527127	0.665442722881229	   
df.mm.trans2:exp5	-0.057759049939335	0.146060588736099	-0.395445824497487	0.692618406411476	   
df.mm.trans1:exp6	-0.112865541245409	0.191061046661302	-0.590730257253785	0.554866568537846	   
df.mm.trans2:exp6	-0.140496820895639	0.146060588736099	-0.961907809022238	0.336384040463422	   
df.mm.trans1:exp7	-0.303791396882036	0.191061046661303	-1.59002267699586	0.112221343558427	   
df.mm.trans2:exp7	-0.404918778361585	0.146060588736099	-2.77226582383006	0.00569501516457701	** 
df.mm.trans1:exp8	-0.154651595005209	0.191061046661302	-0.80943550612576	0.41850327430686	   
df.mm.trans2:exp8	-0.2191625819149	0.146060588736099	-1.50049088403225	0.133878414764373	   
df.mm.trans1:probe2	0.0165480029502716	0.125078815526130	0.132300604867933	0.89477950779558	   
df.mm.trans1:probe3	0.181708309322701	0.125078815526130	1.45275048023413	0.146681750921047	   
df.mm.trans1:probe4	0.00253892187182813	0.125078815526130	0.0202985762309024	0.983810209134537	   
df.mm.trans1:probe5	0.161130998432274	0.125078815526130	1.28823572364748	0.198033153495802	   
df.mm.trans1:probe6	0.0246964598057406	0.125078815526130	0.197447183216900	0.843527329526574	   
df.mm.trans1:probe7	0.0889461099636743	0.125078815526130	0.711120501017959	0.477215048542021	   
df.mm.trans1:probe8	0.201676090972587	0.125078815526130	1.61239207554260	0.107267623329343	   
df.mm.trans1:probe9	0.0399976502925230	0.125078815526130	0.319779573577488	0.749218201174318	   
df.mm.trans1:probe10	0.115598153202433	0.125078815526130	0.924202493573214	0.355657155746777	   
df.mm.trans1:probe11	0.252428099599183	0.125078815526130	2.01815230290895	0.0439058252820322	*  
df.mm.trans1:probe12	0.0665712795693328	0.125078815526130	0.532234649723123	0.594709985127732	   
df.mm.trans1:probe13	0.0494567440740824	0.125078815526130	0.395404640394524	0.692648783277557	   
df.mm.trans1:probe14	0.105113535229605	0.125078815526130	0.84037840290905	0.400945166178733	   
df.mm.trans1:probe15	0.0164545598307264	0.125078815526130	0.131553530959757	0.895370232378585	   
df.mm.trans1:probe16	-0.0181195361331605	0.125078815526130	-0.144864948208397	0.884853673030456	   
df.mm.trans1:probe17	-0.000794420076390202	0.125078815526130	-0.00635135592744914	0.994933954929845	   
df.mm.trans1:probe18	-0.0336068572161232	0.125078815526130	-0.268685445051265	0.788240424599652	   
df.mm.trans1:probe19	0.174592496869804	0.125078815526130	1.39585985152961	0.163140598270035	   
df.mm.trans1:probe20	0.0269807676511982	0.125078815526130	0.215710130750013	0.829268211317665	   
df.mm.trans1:probe21	0.177639882503548	0.125078815526130	1.4202235746823	0.155928812893170	   
df.mm.trans1:probe22	0.0750405107715335	0.125078815526130	0.599945805817589	0.54871077076284	   
df.mm.trans2:probe2	0.0317363515551667	0.125078815526130	0.253730829011063	0.799768143911707	   
df.mm.trans2:probe3	0.0840784043252903	0.125078815526130	0.672203394088951	0.501646623849718	   
df.mm.trans2:probe4	0.155710203204435	0.125078815526130	1.24489668813586	0.213531112061968	   
df.mm.trans2:probe5	0.186602970720507	0.125078815526130	1.49188309735412	0.136120590382134	   
df.mm.trans2:probe6	-0.0332122680639335	0.125078815526130	-0.265530720963657	0.79066846259598	   
df.mm.trans3:probe2	0.175133358243340	0.125078815526130	1.40018401602751	0.161842555111170	   
df.mm.trans3:probe3	0.351978864692541	0.125078815526130	2.81405658673679	0.00501107739612714	** 
df.mm.trans3:probe4	0.244225826252328	0.125078815526130	1.95257546391865	0.0512153043178628	.  
df.mm.trans3:probe5	0.0339899962518482	0.125078815526130	0.271748625927366	0.78588481354752	   
df.mm.trans3:probe6	0.194220130443953	0.125078815526130	1.55278197692382	0.120867291815287	   
df.mm.trans3:probe7	0.0851835871375095	0.125078815526130	0.681039285343361	0.496041998620138	   
df.mm.trans3:probe8	0.00632614248069397	0.125078815526130	0.0505772496652113	0.959674907258403