chr11.3599_chr11_52009868_52012524_-_2.R 

fitVsDatCorrelation=0.91289958059598
cont.fitVsDatCorrelation=0.266022069064931

fstatistic=6991.3422608543,57,807
cont.fstatistic=1241.95098880388,57,807

residuals=-1.16818008644949,-0.128341050196382,0.00192717690289238,0.120956510876487,1.16896988927544
cont.residuals=-1.23678970217901,-0.364244768684636,0.0188319831202826,0.301833271442833,1.81309191368783

predictedValues:
Include	Exclude	Both
chr11.3599_chr11_52009868_52012524_-_2.R.tl.Lung	120.047042781096	147.848987179534	147.013755500286
chr11.3599_chr11_52009868_52012524_-_2.R.tl.cerebhem	101.224641154664	180.151550346855	118.144993700467
chr11.3599_chr11_52009868_52012524_-_2.R.tl.cortex	116.367951326051	161.522233546825	164.050508536874
chr11.3599_chr11_52009868_52012524_-_2.R.tl.heart	135.607373806575	183.460672885968	175.475996820074
chr11.3599_chr11_52009868_52012524_-_2.R.tl.kidney	114.541072203691	139.657573195649	130.478590904057
chr11.3599_chr11_52009868_52012524_-_2.R.tl.liver	115.453041329362	151.837446892261	107.038635545371
chr11.3599_chr11_52009868_52012524_-_2.R.tl.stomach	150.621398480828	205.418486688449	171.276256136258
chr11.3599_chr11_52009868_52012524_-_2.R.tl.testicle	161.591566874029	180.817146460162	223.65997200115


diffExp=-27.8019443984387,-78.9269091921911,-45.1542822207735,-47.8532990793925,-25.1165009919576,-36.3844055628986,-54.7970882076209,-19.2255795861326
diffExpScore=0.99702611082935
diffExp1.5=0,-1,0,0,0,0,0,0
diffExp1.5Score=0.5
diffExp1.4=0,-1,0,0,0,0,0,0
diffExp1.4Score=0.5
diffExp1.3=0,-1,-1,-1,0,-1,-1,0
diffExp1.3Score=0.833333333333333
diffExp1.2=-1,-1,-1,-1,-1,-1,-1,0
diffExp1.2Score=0.875

cont.predictedValues:
Include	Exclude	Both
Lung	119.919332879808	111.112874873427	118.635639975793
cerebhem	105.806737163995	123.086545180517	128.693620650652
cortex	112.759986666714	106.816364098825	128.182335802682
heart	124.474472384052	120.529823553286	94.5557639625332
kidney	121.606123193469	139.539047246187	122.755311567436
liver	123.945476137993	116.455327323263	140.364053110452
stomach	126.388991157910	115.587216022578	122.345126129354
testicle	106.464158465849	108.804264905772	115.762908860686
cont.diffExp=8.80645800638176,-17.2798080165213,5.94362256788878,3.94464883076566,-17.9329240527182,7.49014881472937,10.8017751353318,-2.34010643992248
cont.diffExpScore=47.5930267062044

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=0.594432610821421
cont.tran.correlation=0.255762346606359

tran.covariance=0.0115799185358967
cont.tran.covariance=0.00159891540124309

tran.mean=147.885511572
cont.tran.mean=117.706046328353

weightedLogRatios:
wLogRatio
Lung	-1.01904912213414
cerebhem	-2.82784655946220
cortex	-1.61342684898523
heart	-1.52958365285243
kidney	-0.959591244295714
liver	-1.33845869193930
stomach	-1.60411897187134
testicle	-0.577953398946761

cont.weightedLogRatios:
wLogRatio
Lung	0.362194941661781
cerebhem	-0.716620683053226
cortex	0.254408722863794
heart	0.154834072184695
kidney	-0.669843592881195
liver	0.298497334937008
stomach	0.428353343815111
testicle	-0.101724526657671

varWeightedLogRatios=0.450324323162806
cont.varWeightedLogRatios=0.209291511631545

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.59392525364803	0.105371614075044	43.597370069479	2.46688887474284e-214	***
df.mm.trans1	0.777442752805019	0.0915013754374073	8.49651438668087	9.36046255087467e-17	***
df.mm.trans2	0.526122507603805	0.081331578259966	6.46885894580973	1.71054899017690e-10	***
df.mm.exp2	0.245679101722913	0.105706186984948	2.32416955648866	0.0203638244696331	*  
df.mm.exp3	-0.0523233198026654	0.105706186984948	-0.494988243309884	0.620743156899647	   
df.mm.exp4	0.160712889809438	0.105706186984948	1.52037354097658	0.128808809700429	   
df.mm.exp5	0.0153689018420855	0.105706186984948	0.145392642384064	0.884437179197791	   
df.mm.exp6	0.304935621966654	0.105706186984948	2.88474715306945	0.00402161796725121	** 
df.mm.exp7	0.402991976506167	0.105706186984948	3.8123783290334	0.000148117546556654	***
df.mm.exp8	0.0788823953473194	0.105706186984948	0.746241990154768	0.455738571598237	   
df.mm.trans1:exp2	-0.416220573974585	0.0983220141460808	-4.23323888947383	2.56827236565145e-05	***
df.mm.trans2:exp2	-0.0480720546499121	0.0751643075490608	-0.63955960238887	0.522640459823756	   
df.mm.trans1:exp3	0.0211967958018675	0.0983220141460808	0.215585451396212	0.829365371793472	   
df.mm.trans2:exp3	0.140774726059852	0.0751643075490608	1.87289327408447	0.0614444477991128	.  
df.mm.trans1:exp4	-0.0388328258139307	0.0983220141460808	-0.394955556506759	0.692980053924049	   
df.mm.trans2:exp4	0.055096042067756	0.0751643075490609	0.733008044167692	0.463766383630741	   
df.mm.trans1:exp5	-0.06231912310285	0.0983220141460808	-0.633826754304077	0.526373493380051	   
df.mm.trans2:exp5	-0.0723667770426806	0.0751643075490608	-0.962781131129902	0.335945767509601	   
df.mm.trans1:exp6	-0.343955432390003	0.0983220141460808	-3.49825454021899	0.000493939072845181	***
df.mm.trans2:exp6	-0.278316497657877	0.0751643075490608	-3.70277471759074	0.000227761394610366	***
df.mm.trans1:exp7	-0.176106272184667	0.0983220141460808	-1.79111741876055	0.0736491067126674	.  
df.mm.trans2:exp7	-0.0741340756606197	0.0751643075490609	-0.986293602348844	0.32428466995057	   
df.mm.trans1:exp8	0.218305875055686	0.0983220141460808	2.22031532766752	0.0266744325377215	*  
df.mm.trans2:exp8	0.122412488779389	0.0751643075490609	1.6285986363872	0.103788301284156	   
df.mm.trans1:probe2	-0.54011241588353	0.0643668674721335	-8.39115583987931	2.14353655019765e-16	***
df.mm.trans1:probe3	-0.488135336269175	0.0643668674721335	-7.58364288087353	9.24868224147427e-14	***
df.mm.trans1:probe4	-0.96280620965715	0.0643668674721335	-14.9581026305806	7.85467198134097e-45	***
df.mm.trans1:probe5	-0.872429099853017	0.0643668674721335	-13.5540089818837	7.42646315583883e-38	***
df.mm.trans1:probe6	-0.692620319139598	0.0643668674721334	-10.7605099695034	2.51276959813854e-25	***
df.mm.trans1:probe7	-0.365042117736129	0.0643668674721335	-5.67127362371904	1.97450706550585e-08	***
df.mm.trans1:probe8	-1.45225007691232	0.0643668674721335	-22.5620747745888	8.93739680024776e-88	***
df.mm.trans1:probe9	-0.620760069232243	0.0643668674721335	-9.64409320526574	6.63205844807765e-21	***
df.mm.trans1:probe10	-0.54187726481671	0.0643668674721335	-8.41857443274379	1.72917271883375e-16	***
df.mm.trans1:probe11	-1.47546880395501	0.0643668674721335	-22.9227996001793	5.96771008396302e-90	***
df.mm.trans1:probe12	-1.31692320036408	0.0643668674721334	-20.4596441008134	2.85620303574673e-75	***
df.mm.trans1:probe13	-1.33941185578821	0.0643668674721335	-20.8090265751721	2.52031202361380e-77	***
df.mm.trans1:probe14	-1.49334328522379	0.0643668674721335	-23.2004965267311	1.24806116011716e-91	***
df.mm.trans1:probe15	-1.17201362717928	0.0643668674721335	-18.2083371959446	2.51979872409754e-62	***
df.mm.trans1:probe16	-1.22679751186733	0.0643668674721334	-19.0594565192792	3.73527330795311e-67	***
df.mm.trans1:probe17	-0.475430817330778	0.0643668674721335	-7.38626619567292	3.77019473704265e-13	***
df.mm.trans1:probe18	-0.464298344920024	0.0643668674721335	-7.21331273610657	1.2589353578765e-12	***
df.mm.trans1:probe19	-0.255798761769265	0.0643668674721334	-3.97407504536412	7.69802124488679e-05	***
df.mm.trans1:probe20	-0.580207188742242	0.0643668674721335	-9.01406595549229	1.41704145438926e-18	***
df.mm.trans1:probe21	-0.647568716910049	0.0643668674721334	-10.0605908341027	1.64024429621726e-22	***
df.mm.trans1:probe22	-0.521234495936549	0.0643668674721335	-8.09786954697164	2.05817917116891e-15	***
df.mm.trans2:probe2	-0.365149204606336	0.0643668674721335	-5.67293731925701	1.95614895988096e-08	***
df.mm.trans2:probe3	-0.582352213675569	0.0643668674721335	-9.0473909411187	1.07463178860279e-18	***
df.mm.trans2:probe4	-0.418248602401516	0.0643668674721335	-6.49788654982456	1.42457040056624e-10	***
df.mm.trans2:probe5	-0.309811223172577	0.0643668674721335	-4.81320958032803	1.77297641637137e-06	***
df.mm.trans2:probe6	-0.0584278703612695	0.0643668674721335	-0.90773207794468	0.364290769567365	   
df.mm.trans3:probe2	-0.82491782047422	0.0643668674721335	-12.8158764418877	2.33175921733966e-34	***
df.mm.trans3:probe3	-1.16593536874598	0.0643668674721334	-18.1139057178875	8.54420489344963e-62	***
df.mm.trans3:probe4	-0.700634783319653	0.0643668674721334	-10.8850222301556	7.67026499808878e-26	***
df.mm.trans3:probe5	-0.468040307342334	0.0643668674721334	-7.27144765193	8.4170125064576e-13	***
df.mm.trans3:probe6	-1.08602558591511	0.0643668674721334	-16.8724318669895	6.17864404483668e-55	***
df.mm.trans3:probe7	-1.34829266481003	0.0643668674721334	-20.9469983201178	3.86659607912743e-78	***
df.mm.trans3:probe8	-1.66186832398542	0.0643668674721334	-25.8186919645406	1.26385633915296e-107	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	5.07002421388604	0.248845368788113	20.3741955840981	9.04858381049668e-75	***
df.mm.trans1	-0.222599401918109	0.216089444156420	-1.03012621827550	0.303259392945408	   
df.mm.trans2	-0.386411827939618	0.192072473823990	-2.01180221322976	0.0445727265161628	*  
df.mm.exp2	-0.104241541779033	0.249635495425939	-0.417574999104883	0.676368950892303	   
df.mm.exp3	-0.178389983050716	0.249635495425939	-0.714601834752463	0.47506176527482	   
df.mm.exp4	0.345499200163667	0.249635495425939	1.38401471943788	0.166736581028299	   
df.mm.exp5	0.207629837982197	0.249635495425939	0.831732032449673	0.405806251721927	   
df.mm.exp6	-0.0881988424750206	0.249635495425939	-0.353310503077826	0.723947944085216	   
df.mm.exp7	0.0612348721180095	0.249635495425939	0.245297136184612	0.806288733668657	   
df.mm.exp8	-0.115494207944093	0.249635495425939	-0.462651385961886	0.643738989261328	   
df.mm.trans1:exp2	-0.0209635532607542	0.232197049318676	-0.0902834610614845	0.928084365451105	   
df.mm.trans2:exp2	0.206582693700433	0.177507861068050	1.16379461989707	0.244851217709518	   
df.mm.trans1:exp3	0.116832240316559	0.232197049318676	0.503159883639239	0.614989164815828	   
df.mm.trans2:exp3	0.138954544357880	0.177507861068050	0.782807834660401	0.43396961399032	   
df.mm.trans1:exp4	-0.308217837109897	0.232197049318676	-1.32739773401206	0.184752536221030	   
df.mm.trans2:exp4	-0.264148554868871	0.177507861068050	-1.48809496818626	0.137116487471057	   
df.mm.trans1:exp5	-0.193661805243705	0.232197049318676	-0.83404076758063	0.404504815944348	   
df.mm.trans2:exp5	0.0201680573061766	0.177507861068050	0.113617826189934	0.909569014313125	   
df.mm.trans1:exp6	0.121221312080083	0.232197049318676	0.522062241685571	0.601770258265407	   
df.mm.trans2:exp6	0.135160010109108	0.177507861068050	0.761431123646364	0.446622050754956	   
df.mm.trans1:exp7	-0.00868978020320586	0.232197049318676	-0.0374241629198297	0.970156062332115	   
df.mm.trans2:exp7	-0.0217560854157884	0.177507861068050	-0.122564067218679	0.902482825178673	   
df.mm.trans1:exp8	-0.00351669451080933	0.232197049318676	-0.0151453023245911	0.987920002476648	   
df.mm.trans2:exp8	0.0944981657184633	0.177507861068050	0.532360455192664	0.594622906221091	   
df.mm.trans1:probe2	-0.0726992239104789	0.152008650664032	-0.478257149135268	0.63259672254088	   
df.mm.trans1:probe3	0.04594818380871	0.152008650664032	0.302273479884143	0.762521480394838	   
df.mm.trans1:probe4	-0.140459868614411	0.152008650664032	-0.924025494607238	0.355749243903832	   
df.mm.trans1:probe5	-0.0310089751727864	0.152008650664032	-0.203994805804323	0.8384089891339	   
df.mm.trans1:probe6	-0.167798744076553	0.152008650664032	-1.10387628166913	0.269975849418965	   
df.mm.trans1:probe7	-0.152448481811495	0.152008650664032	-1.00289346129672	0.316212880583672	   
df.mm.trans1:probe8	-0.0844846992853765	0.152008650664032	-0.555788758839151	0.578509319799076	   
df.mm.trans1:probe9	-0.0260288602137989	0.152008650664032	-0.171232756162855	0.86408367695866	   
df.mm.trans1:probe10	0.0266987527433010	0.152008650664032	0.175639693048195	0.86062107776767	   
df.mm.trans1:probe11	0.0084504573874304	0.152008650664032	0.0555919505272598	0.955680637186531	   
df.mm.trans1:probe12	0.0509061244953692	0.152008650664032	0.334889654457109	0.73779535172666	   
df.mm.trans1:probe13	-0.254094755274614	0.152008650664032	-1.67158088809176	0.0949946697170746	.  
df.mm.trans1:probe14	-0.0184039819149136	0.152008650664032	-0.121071937909572	0.903664194247787	   
df.mm.trans1:probe15	-0.0982416385930898	0.152008650664032	-0.646289787876759	0.518275446466588	   
df.mm.trans1:probe16	-0.0181315628751691	0.152008650664032	-0.119279809379029	0.905083365050043	   
df.mm.trans1:probe17	-0.152745028597739	0.152008650664032	-1.00484431596814	0.315273016105568	   
df.mm.trans1:probe18	-0.0455430564404568	0.152008650664032	-0.299608319931183	0.764553085927642	   
df.mm.trans1:probe19	-0.190617495704764	0.152008650664032	-1.25399110426988	0.210208357597695	   
df.mm.trans1:probe20	-0.276323231641532	0.152008650664032	-1.81781254181552	0.069463457320955	.  
df.mm.trans1:probe21	-0.121271523256047	0.152008650664032	-0.797793564552322	0.425224981071467	   
df.mm.trans1:probe22	-0.0998680280321695	0.152008650664032	-0.656989109474412	0.511375233437872	   
df.mm.trans2:probe2	0.158181481095017	0.152008650664032	1.04060841540280	0.298368980194049	   
df.mm.trans2:probe3	0.239029623779539	0.152008650664032	1.57247382129481	0.116232661250232	   
df.mm.trans2:probe4	0.0855617370800574	0.152008650664032	0.562874130559615	0.573676933317182	   
df.mm.trans2:probe5	-0.0195001959269116	0.152008650664032	-0.128283461774888	0.897956613852454	   
df.mm.trans2:probe6	-0.0861939939468159	0.152008650664032	-0.567033478491437	0.570849118911007	   
df.mm.trans3:probe2	0.246691914605307	0.152008650664032	1.62288076058607	0.105005446520212	   
df.mm.trans3:probe3	0.273907256838904	0.152008650664032	1.80191887529013	0.0719312548321603	.  
df.mm.trans3:probe4	0.54112404181223	0.152008650664032	3.55982399322929	0.000392807204369645	***
df.mm.trans3:probe5	0.489829869213576	0.152008650664032	3.22238153601003	0.00132230840569963	** 
df.mm.trans3:probe6	0.350397080986446	0.152008650664032	2.30511276467344	0.0214131528593251	*  
df.mm.trans3:probe7	0.401548755719680	0.152008650664032	2.64161778928739	0.00841080430173711	** 
df.mm.trans3:probe8	0.216852785548748	0.152008650664032	1.42658187281745	0.154087204163559