chr17.10886_chr17_31767233_31767500_+_0.R 

fitVsDatCorrelation=0.938400472504905
cont.fitVsDatCorrelation=0.230345497495264

fstatistic=9744.60188887523,46,554
cont.fstatistic=1218.22106846133,46,554

residuals=-0.454741650188825,-0.0854184184111273,0.00083369815001987,0.0796638971135024,0.756383897418416
cont.residuals=-0.685110200805869,-0.29795413030242,-0.112241944656623,0.218488098959248,1.88381376051667

predictedValues:
Include	Exclude	Both
chr17.10886_chr17_31767233_31767500_+_0.R.tl.Lung	184.719796513418	79.140845387025	53.9752213898486
chr17.10886_chr17_31767233_31767500_+_0.R.tl.cerebhem	209.393041701509	80.5413732674371	52.5550604696873
chr17.10886_chr17_31767233_31767500_+_0.R.tl.cortex	139.370590124491	66.5021063894197	52.4283095561917
chr17.10886_chr17_31767233_31767500_+_0.R.tl.heart	142.718047695738	68.3984564423196	55.689733566249
chr17.10886_chr17_31767233_31767500_+_0.R.tl.kidney	189.750672525202	81.3457327075833	55.0014379841662
chr17.10886_chr17_31767233_31767500_+_0.R.tl.liver	171.859197469184	75.7710103126974	56.373039200732
chr17.10886_chr17_31767233_31767500_+_0.R.tl.stomach	156.613299224428	73.3716756927554	55.0539836781295
chr17.10886_chr17_31767233_31767500_+_0.R.tl.testicle	146.794454072016	68.900943483548	52.4547433647794


diffExp=105.578951126393,128.851668434072,72.8684837350715,74.3195912534188,108.404939817619,96.088187156487,83.241623531673,77.8935105884683
diffExpScore=0.99866354284176
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	84.2805742395078	71.7701287749576	67.5276523282195
cerebhem	87.4933437538593	68.229246913	72.5079748759564
cortex	71.882623836524	76.0024265723847	66.9439454083223
heart	78.8480675064324	82.3861630613738	73.3170040574713
kidney	80.7853193010725	70.9601612123205	65.4739429201026
liver	81.8611095287488	68.5068861437424	71.3363157806126
stomach	88.4732954132117	78.9623419365128	74.116341471859
testicle	86.517493649288	69.4878008846128	71.930692807091
cont.diffExp=12.5104454645502,19.2640968408594,-4.11980273586072,-3.53809555494138,9.82515808875198,13.3542233850064,9.51095347669894,17.0296927646752
cont.diffExpScore=1.19129387038086

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=0,1,0,0,0,0,0,1
cont.diffExp1.2Score=0.666666666666667

tran.correlation=0.956434096559555
cont.tran.correlation=-0.320109198720833

tran.covariance=0.0114533033563818
cont.tran.covariance=-0.00158655362585254

tran.mean=120.949452688048
cont.tran.mean=77.9029364204718

weightedLogRatios:
wLogRatio
Lung	4.06432380260248
cerebhem	4.64965118741609
cortex	3.37927337687124
heart	3.37832808681688
kidney	4.08442405077061
liver	3.87957257332085
stomach	3.54452142022411
testicle	3.48747969685737

cont.weightedLogRatios:
wLogRatio
Lung	0.699583435999209
cerebhem	1.08110706530836
cortex	-0.239803642004387
heart	-0.192674449888568
kidney	0.561105268264921
liver	0.768631677790157
stomach	0.503349013274085
testicle	0.953664245319093

varWeightedLogRatios=0.19945551462604
cont.varWeightedLogRatios=0.240581246231648

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	5.8174184178122	0.0778397392257121	74.7358415595845	1.55191545576793e-291	***
df.mm.trans1	-0.510993335781669	0.0618326065708467	-8.26414029944188	1.04399739588226e-15	***
df.mm.trans2	-1.42953970779096	0.0618326065708467	-23.1195122941004	2.71044460506465e-83	***
df.mm.exp2	0.16957857992427	0.0823007160558788	2.06047514591651	0.0398194852345717	*  
df.mm.exp3	-0.426620684024148	0.0823007160558788	-5.18368131492915	3.05336484389869e-07	***
df.mm.exp4	-0.435118669561965	0.0823007160558788	-5.2869366199261	1.79246110351648e-07	***
df.mm.exp5	0.0355159033914137	0.0823007160558788	0.431538206390572	0.666244960305894	   
df.mm.exp6	-0.159143827283405	0.0823007160558788	-1.93368703105029	0.0536606761407861	.  
df.mm.exp7	-0.260540652537711	0.0823007160558788	-3.16571550071101	0.00163204767067978	** 
df.mm.exp8	-0.339791661994907	0.0823007160558788	-4.12865984986331	4.21119718151652e-05	***
df.mm.trans1:exp2	-0.0442055751875439	0.0634169608136541	-0.69706234137329	0.486056176073089	   
df.mm.trans2:exp2	-0.152036691967303	0.0634169608136541	-2.39741372050374	0.0168413828592978	*  
df.mm.trans1:exp3	0.144917121924685	0.0634169608136541	2.28514769653679	0.0226811916982542	*  
df.mm.trans2:exp3	0.252625188141803	0.0634169608136541	3.98355873413933	7.69562518855541e-05	***
df.mm.trans1:exp4	0.177149595587296	0.0634169608136541	2.79341036395353	0.00539594995982795	** 
df.mm.trans2:exp4	0.289239809231708	0.0634169608136541	4.56092196031936	6.27442341321076e-06	***
df.mm.trans1:exp5	-0.0086450063030005	0.0634169608136541	-0.136320097842645	0.89161775769829	   
df.mm.trans2:exp5	-0.00803664513447534	0.0634169608136541	-0.126727062151250	0.899202406370377	   
df.mm.trans1:exp6	0.0869792860289594	0.0634169608136541	1.37154611184445	0.170759999915889	   
df.mm.trans2:exp6	0.115630479007253	0.0634169608136541	1.82333680964346	0.068791109608328	.  
df.mm.trans1:exp7	0.095480293842402	0.0634169608136541	1.50559554758487	0.132740955483079	   
df.mm.trans2:exp7	0.184849505867719	0.0634169608136541	2.91482757130045	0.00370273380092389	** 
df.mm.trans1:exp8	0.109984935209824	0.0634169608136541	1.73431419290189	0.083418594092471	.  
df.mm.trans2:exp8	0.201232415369679	0.0634169608136541	3.17316397360928	0.00159148385786402	** 
df.mm.trans1:probe2	-0.579279491813315	0.0454287652083169	-12.7513809621940	7.76893112901027e-33	***
df.mm.trans1:probe3	-0.137404446111346	0.0454287652083169	-3.02461327049653	0.00260491683873956	** 
df.mm.trans1:probe4	-0.435612212566604	0.0454287652083169	-9.5889071730009	2.99484438441339e-20	***
df.mm.trans1:probe5	-0.315183838862378	0.0454287652083169	-6.93797943697302	1.11410531394931e-11	***
df.mm.trans1:probe6	-0.196635363659609	0.0454287652083169	-4.32843293798374	1.78221417473951e-05	***
df.mm.trans2:probe2	-0.0891865642193642	0.0454287652083169	-1.96321788211484	0.0501206993990333	.  
df.mm.trans2:probe3	-0.0307511411412976	0.0454287652083169	-0.676909024497717	0.498746215459049	   
df.mm.trans2:probe4	-0.159849536607424	0.0454287652083169	-3.51868548208217	0.000469315675320057	***
df.mm.trans2:probe5	-0.113513552201181	0.0454287652083169	-2.49871533335006	0.0127529489767194	*  
df.mm.trans2:probe6	0.0769585471219588	0.0454287652083169	1.69404884260137	0.0908180589262426	.  
df.mm.trans3:probe2	-0.0565231933883095	0.0454287652083169	-1.24421593079007	0.213946250171320	   
df.mm.trans3:probe3	0.0726034534396227	0.0454287652083169	1.59818240946445	0.110572547159793	   
df.mm.trans3:probe4	0.0688736895968213	0.0454287652083169	1.51608103986529	0.130069219014913	   
df.mm.trans3:probe5	-0.00450736483955892	0.0454287652083169	-0.099218299658599	0.921000836060132	   
df.mm.trans3:probe6	0.373908063349228	0.0454287652083169	8.23064553118812	1.33990586533411e-15	***
df.mm.trans3:probe7	-0.0114961545619038	0.0454287652083169	-0.253058926633541	0.800316550781244	   
df.mm.trans3:probe8	0.189263091295936	0.0454287652083169	4.16615090522617	3.59305117233858e-05	***
df.mm.trans3:probe9	0.237617527792705	0.0454287652083169	5.23055219975918	2.40020372968299e-07	***
df.mm.trans3:probe10	0.0792592622871449	0.0454287652083169	1.74469330002028	0.0815927947276207	.  
df.mm.trans3:probe11	-0.0271443766346613	0.0454287652083169	-0.597515175906474	0.550407622161396	   
df.mm.trans3:probe12	0.176784268358329	0.0454287652083169	3.89146100598755	0.000111767181870381	***
df.mm.trans3:probe13	0.352677883534639	0.0454287652083169	7.76331652241503	4.01857365951653e-14	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.53924365429283	0.219205969927185	20.7076643752022	5.59173286668662e-71	***
df.mm.trans1	-0.0600197815000397	0.174127979247023	-0.344687750696824	0.730459939269312	   
df.mm.trans2	-0.274895679088690	0.174127979247023	-1.57869907109365	0.114975877886215	   
df.mm.exp2	-0.0843431017127006	0.231768611613893	-0.363910803647602	0.716063455656242	   
df.mm.exp3	-0.093138380885393	0.231768611613893	-0.401859338228914	0.687942531048719	   
df.mm.exp4	-0.0109348375018660	0.231768611613893	-0.0471799758635241	0.962386789159997	   
df.mm.exp5	-0.0228209583896580	0.231768611613893	-0.0984644047817651	0.92159915066891	   
df.mm.exp6	-0.130529822663235	0.231768611613893	-0.563190251493962	0.57353319986429	   
df.mm.exp7	0.0509531935446925	0.231768611613893	0.219845099773805	0.826072776317682	   
df.mm.exp8	-0.0692877929714395	0.231768611613893	-0.298952444375286	0.765088438963542	   
df.mm.trans1:exp2	0.121754418412414	0.17858970936017	0.681754950207496	0.495678819759992	   
df.mm.trans2:exp2	0.0337480592897818	0.17858970936017	0.188969786728980	0.850185703133678	   
df.mm.trans1:exp3	-0.0659784572389853	0.17858970936017	-0.369441539914955	0.711939807094332	   
df.mm.trans2:exp3	0.150435293532873	0.17858970936017	0.842351410234303	0.399954775867053	   
df.mm.trans1:exp4	-0.0556937602542208	0.17858970936017	-0.311853132264753	0.755269470763656	   
df.mm.trans2:exp4	0.148883980590869	0.17858970936017	0.833664947013312	0.404829104700929	   
df.mm.trans1:exp5	-0.0195351867954767	0.17858970936017	-0.109385847961033	0.912936067621617	   
df.mm.trans2:exp5	0.0114712125512417	0.17858970936017	0.0642322146798906	0.948808496257075	   
df.mm.trans1:exp6	0.101402445229161	0.17858970936017	0.567795566678807	0.570403821498066	   
df.mm.trans2:exp6	0.0839957348115697	0.17858970936017	0.470327966334117	0.638305820447152	   
df.mm.trans1:exp7	-0.00240383619470349	0.17858970936017	-0.0134601047468842	0.989265560254308	   
df.mm.trans2:exp7	0.044549505211134	0.17858970936017	0.249451692209706	0.803103864973411	   
df.mm.trans1:exp8	0.0954830227960569	0.17858970936017	0.534650194225312	0.593106270812157	   
df.mm.trans2:exp8	0.0369706475822907	0.17858970936017	0.207014433892887	0.836074651546314	   
df.mm.trans1:probe2	-0.247141025472967	0.127932809630920	-1.93180331289493	0.0538934150737344	.  
df.mm.trans1:probe3	-0.226397192311166	0.127932809630920	-1.76965700170512	0.077334327575821	.  
df.mm.trans1:probe4	-0.0908487937123854	0.127932809630920	-0.710128965153505	0.477922967606238	   
df.mm.trans1:probe5	-0.0794560251484786	0.127932809630920	-0.621076214754491	0.534804923088144	   
df.mm.trans1:probe6	-0.212533901087486	0.127932809630920	-1.66129315615468	0.0972203368052827	.  
df.mm.trans2:probe2	0.0674458625883955	0.127932809630920	0.527197540513444	0.598267461583399	   
df.mm.trans2:probe3	0.172634658705921	0.127932809630920	1.34941661332980	0.177754375536693	   
df.mm.trans2:probe4	-0.0570335984020443	0.127932809630920	-0.445809003699548	0.655909387386481	   
df.mm.trans2:probe5	-0.109466741780587	0.127932809630920	-0.855658076269832	0.392556847102059	   
df.mm.trans2:probe6	0.09970704855961	0.127932809630920	0.779370427705452	0.436094337942274	   
df.mm.trans3:probe2	0.026630359350492	0.127932809630920	0.208158950212376	0.835181362185838	   
df.mm.trans3:probe3	-0.00165710327757995	0.127932809630920	-0.0129529186637940	0.989670018285475	   
df.mm.trans3:probe4	0.00772081633382447	0.127932809630920	0.0603505571096161	0.95189820066439	   
df.mm.trans3:probe5	-0.0441179508913934	0.127932809630920	-0.344852512961074	0.730336131900547	   
df.mm.trans3:probe6	0.089692798839204	0.127932809630920	0.701093012011256	0.483539341853924	   
df.mm.trans3:probe7	0.00603457557136044	0.127932809630920	0.0471698822903203	0.962394830064436	   
df.mm.trans3:probe8	0.0537010837723893	0.127932809630920	0.419760059419585	0.674823478887907	   
df.mm.trans3:probe9	0.0368741525579954	0.127932809630920	0.288230616245947	0.773278015966032	   
df.mm.trans3:probe10	-0.0483346446158012	0.127932809630920	-0.377812734319245	0.70571441987563	   
df.mm.trans3:probe11	-0.034148298407387	0.127932809630920	-0.266923696164442	0.789627239672292	   
df.mm.trans3:probe12	0.138637667608096	0.127932809630920	1.08367562635464	0.278980043104601	   
df.mm.trans3:probe13	-0.124316659553827	0.127932809630920	-0.971733989994236	0.3316069713771