chr4.17316_chr4_105851228_105856690_-_2.R 

fitVsDatCorrelation=0.91304349141592
cont.fitVsDatCorrelation=0.308814787041058

fstatistic=3637.84750269372,52,692
cont.fstatistic=658.097351262869,52,692

residuals=-0.97755189141395,-0.173397487457710,-0.00286004056333907,0.158155731790144,1.19152259245486
cont.residuals=-1.15485276477617,-0.443993485782047,-0.145258624288721,0.242714133819264,2.18955298923433

predictedValues:
Include	Exclude	Both
chr4.17316_chr4_105851228_105856690_-_2.R.tl.Lung	57.5735524950163	131.500682793687	67.3854280128021
chr4.17316_chr4_105851228_105856690_-_2.R.tl.cerebhem	63.5671934885035	88.848951663706	68.5052105835041
chr4.17316_chr4_105851228_105856690_-_2.R.tl.cortex	58.5574334903087	75.42806385121	67.3867512665184
chr4.17316_chr4_105851228_105856690_-_2.R.tl.heart	74.195594663305	89.0825937840205	95.1188987738902
chr4.17316_chr4_105851228_105856690_-_2.R.tl.kidney	70.4704231457426	131.749267974846	79.3332027283408
chr4.17316_chr4_105851228_105856690_-_2.R.tl.liver	205.044333415237	101.492340435353	468.386946763255
chr4.17316_chr4_105851228_105856690_-_2.R.tl.stomach	66.379067995022	87.6979489379794	71.2303019993489
chr4.17316_chr4_105851228_105856690_-_2.R.tl.testicle	215.45951789135	100.561685598526	589.820047554595


diffExp=-73.927130298671,-25.2817581752025,-16.8706303609012,-14.8869991207155,-61.2788448291034,103.551992979884,-21.3188809429574,114.897832292824
diffExpScore=73.4021040547349
diffExp1.5=-1,0,0,0,-1,1,0,1
diffExp1.5Score=4
diffExp1.4=-1,0,0,0,-1,1,0,1
diffExp1.4Score=4
diffExp1.3=-1,-1,0,0,-1,1,-1,1
diffExp1.3Score=2
diffExp1.2=-1,-1,-1,-1,-1,1,-1,1
diffExp1.2Score=1.6

cont.predictedValues:
Include	Exclude	Both
Lung	109.593957291446	98.6325352928303	87.4248054783526
cerebhem	88.6866135740325	123.936470149995	88.8895758457065
cortex	109.920000831773	97.3501341744316	103.733455925678
heart	84.8050964616703	72.9763483628738	84.1552666418717
kidney	85.5783673458958	110.741808644464	87.5365737568517
liver	92.3407950434161	87.1051202020978	215.232771135416
stomach	86.327544471823	107.995640292028	79.4265737643453
testicle	109.404997303272	61.4919289017686	76.1944278086096
cont.diffExp=10.9614219986153,-35.2498565759621,12.5698666573415,11.8287480987965,-25.1634412985677,5.23567484131834,-21.6680958202054,47.9130684015032
cont.diffExpScore=22.9677260259227

cont.diffExp1.5=0,0,0,0,0,0,0,1
cont.diffExp1.5Score=0.5
cont.diffExp1.4=0,0,0,0,0,0,0,1
cont.diffExp1.4Score=0.5
cont.diffExp1.3=0,-1,0,0,0,0,0,1
cont.diffExp1.3Score=2
cont.diffExp1.2=0,-1,0,0,-1,0,-1,1
cont.diffExp1.2Score=1.33333333333333

tran.correlation=0.00599496947320453
cont.tran.correlation=-0.35419614753089

tran.covariance=0.00704226074772384
cont.tran.covariance=-0.0094614566198077

tran.mean=101.100540726488
cont.tran.mean=95.4304598964886

weightedLogRatios:
wLogRatio
Lung	-3.6887181886523
cerebhem	-1.44634833829211
cortex	-1.06245735588217
heart	-0.804239253526131
kidney	-2.85826136114806
liver	3.49624568133957
stomach	-1.20726986700626
testicle	3.80373895753246

cont.weightedLogRatios:
wLogRatio
Lung	0.489399302731837
cerebhem	-1.55698588207042
cortex	0.563358314633403
heart	0.655748260482561
kidney	-1.1801477812319
liver	0.262450697051105
stomach	-1.02344240690546
testicle	2.53908506370968

varWeightedLogRatios=7.43134663451372
cont.varWeightedLogRatios=1.75669989020449

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.15468567346884	0.154351402582235	26.9170581152013	9.53937026751604e-110	***
df.mm.trans1	-0.524815276786092	0.138630131716773	-3.78572299028259	0.000166561972082097	***
df.mm.trans2	0.609961200219596	0.127489233811981	4.7844134126585	2.09713138152886e-06	***
df.mm.exp2	-0.309521097274987	0.174628677522485	-1.77245285062148	0.0767593220662632	.  
df.mm.exp3	-0.538907537967006	0.174628677522485	-3.0860196939739	0.00210947059143633	** 
df.mm.exp4	-0.480505493539124	0.174628677522485	-2.75158410609423	0.00608599638423662	** 
df.mm.exp5	0.0407904292778430	0.174628677522485	0.233583795379719	0.815377190228029	   
df.mm.exp6	-0.927731770542283	0.174628677522485	-5.31259689819749	1.45869160326953e-07	***
df.mm.exp7	-0.31828459534444	0.174628677522485	-1.82263646418246	0.0687898627426826	.  
df.mm.exp8	-1.11791967527056	0.174628677522485	-6.40169582184814	2.83447739428333e-10	***
df.mm.trans1:exp2	0.408555304700917	0.167194229651667	2.44359692049243	0.0147904438547604	*  
df.mm.trans2:exp2	-0.0825531910910769	0.145523897935404	-0.567282709316384	0.570706097455193	   
df.mm.trans1:exp3	0.555852275466009	0.167194229651667	3.32459006883236	0.000932180870361865	***
df.mm.trans2:exp3	-0.0169251006017816	0.145523897935404	-0.116304612794899	0.907444873394825	   
df.mm.trans1:exp4	0.73414696665157	0.167194229651667	4.39098268032991	1.30491958823363e-05	***
df.mm.trans2:exp4	0.0910574090202904	0.145523897935404	0.625721344137644	0.531704039558521	   
df.mm.trans1:exp5	0.161339358481623	0.167194229651667	0.964981619388167	0.334891118825943	   
df.mm.trans2:exp5	-0.03890184199173	0.145523897935404	-0.267322704680423	0.789300356859481	   
df.mm.trans1:exp6	2.19789468267801	0.167194229651667	13.1457568078582	2.14249375677970e-35	***
df.mm.trans2:exp6	0.66870305853372	0.145523897935404	4.59514257122599	5.13944345358549e-06	***
df.mm.trans1:exp7	0.460603056905235	0.167194229651667	2.75489804800594	0.00602536956858245	** 
df.mm.trans2:exp7	-0.0868289367549093	0.145523897935404	-0.596664451590291	0.550926574126147	   
df.mm.trans1:exp8	2.43762941097179	0.167194229651667	14.5796264383667	3.48859412220112e-42	***
df.mm.trans2:exp8	0.849678957577693	0.145523897935404	5.83875892298359	8.08722763673407e-09	***
df.mm.trans1:probe2	-0.113828042239400	0.0835971148258334	-1.36162644460337	0.173758939566312	   
df.mm.trans1:probe3	0.90189732252184	0.0835971148258334	10.7886178177423	3.45146269149013e-25	***
df.mm.trans1:probe4	1.11741147117461	0.0835971148258335	13.366627227538	2.04728646184613e-36	***
df.mm.trans1:probe5	0.505974467768781	0.0835971148258334	6.05253505247077	2.33642312879605e-09	***
df.mm.trans1:probe6	0.0416691789720039	0.0835971148258335	0.498452357582168	0.618323629162773	   
df.mm.trans1:probe7	0.691610784997227	0.0835971148258334	8.27314179966775	6.69503552557443e-16	***
df.mm.trans1:probe8	0.562258415841603	0.0835971148258335	6.72581125572353	3.65957584337903e-11	***
df.mm.trans1:probe9	0.657429643954217	0.0835971148258334	7.86426236508171	1.42812406467377e-14	***
df.mm.trans1:probe10	0.0378887392895764	0.0835971148258335	0.453230226527721	0.650525048546962	   
df.mm.trans1:probe11	0.888514696993972	0.0835971148258335	10.6285330402264	1.52099247107337e-24	***
df.mm.trans1:probe12	0.899566002009987	0.0835971148258335	10.7607302463027	4.47400216022728e-25	***
df.mm.trans1:probe13	0.776886052087122	0.0835971148258334	9.29321608413985	1.91330479051845e-19	***
df.mm.trans1:probe14	0.859966352276866	0.0835971148258335	10.2870338775270	3.41524757738189e-23	***
df.mm.trans1:probe15	0.924227825861072	0.0835971148258334	11.0557383204745	2.80785262844066e-26	***
df.mm.trans1:probe16	0.719432974758226	0.0835971148258334	8.60595459851809	5.06644862122842e-17	***
df.mm.trans1:probe17	0.428440688582401	0.0835971148258335	5.12506549388715	3.8631753524456e-07	***
df.mm.trans1:probe18	0.59116144977965	0.0835971148258335	7.07155325888074	3.75595069430155e-12	***
df.mm.trans1:probe19	0.289837868721498	0.0835971148258335	3.46707980682524	0.000558682993491962	***
df.mm.trans1:probe20	-0.0270869202868457	0.0835971148258334	-0.324017405903047	0.746022764157902	   
df.mm.trans1:probe21	-0.0150832211653362	0.0835971148258335	-0.180427532657803	0.856869766143248	   
df.mm.trans1:probe22	-0.158353064371122	0.0835971148258335	-1.89424078451792	0.0586097783800733	.  
df.mm.trans2:probe2	0.234891313910528	0.0835971148258335	2.80980168274828	0.0050972067947503	** 
df.mm.trans2:probe3	0.00136051157261276	0.0835971148258335	0.0162746235375139	0.987019993326656	   
df.mm.trans2:probe4	0.096701341512237	0.0835971148258335	1.15675453290110	0.247771821681461	   
df.mm.trans2:probe5	0.230463410328515	0.0835971148258335	2.75683450091147	0.00599019611266554	** 
df.mm.trans2:probe6	0.465869955046115	0.0835971148258335	5.57279944429554	3.59310418150105e-08	***
df.mm.trans3:probe2	-0.176224960229033	0.0835971148258335	-2.10802682121483	0.0353876522056626	*  
df.mm.trans3:probe3	0.0880165483805636	0.0835971148258335	1.05286586222428	0.292769968243299	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.65599514202327	0.359942747400698	12.9353770166123	1.96286084718168e-34	***
df.mm.trans1	-0.053915557805387	0.323281224840642	-0.166776025523796	0.867595002767874	   
df.mm.trans2	-0.196621802278581	0.297300991857498	-0.66135602525277	0.508604156405334	   
df.mm.exp2	7.8817602544987e-05	0.40722873204152	0.000193546271035097	0.99984562825016	   
df.mm.exp3	-0.181162099891531	0.40722873204152	-0.444865712159671	0.656555912627886	   
df.mm.exp4	-0.51957683121732	0.40722873204152	-1.27588450994746	0.202424436886983	   
df.mm.exp5	-0.132827075505498	0.40722873204152	-0.32617314313656	0.74439197477781	   
df.mm.exp6	-1.19652276504410	0.40722873204152	-2.93820811475087	0.00341096633986904	** 
df.mm.exp7	-0.0519977780337956	0.40722873204152	-0.127686908959297	0.898433846168462	   
df.mm.exp8	-0.336730197763556	0.40722873204152	-0.826882219423613	0.40858884827903	   
df.mm.trans1:exp2	-0.211752096460977	0.389891827113793	-0.543104732480518	0.587232583742567	   
df.mm.trans2:exp2	0.228289099489206	0.339357276701267	0.672710194130202	0.501356248206585	   
df.mm.trans1:exp3	0.184132697140817	0.389891827113793	0.472266111613251	0.636885748615157	   
df.mm.trans2:exp3	0.168075030253678	0.339357276701267	0.495274572826188	0.620563545267745	   
df.mm.trans1:exp4	0.263150233201275	0.389891827113793	0.67493139096879	0.499944790942536	   
df.mm.trans2:exp4	0.218311045115316	0.339357276701267	0.64330739342741	0.520237776212243	   
df.mm.trans1:exp5	-0.114522629998968	0.389891827113793	-0.293729239842576	0.769052882250504	   
df.mm.trans2:exp5	0.248627339393630	0.339357276701267	0.732641839333518	0.464024986196476	   
df.mm.trans1:exp6	1.02522655325091	0.389891827113793	2.62951537312344	0.00874062973373557	** 
df.mm.trans2:exp6	1.07223725277956	0.339357276701267	3.15961179086029	0.00164859864695357	** 
df.mm.trans1:exp7	-0.186635742424648	0.389891827113793	-0.478685957092855	0.632313265068777	   
df.mm.trans2:exp7	0.142687456953276	0.339357276701267	0.420463820137507	0.674277187595404	   
df.mm.trans1:exp8	0.335004527105301	0.389891827113793	0.859224286862334	0.390514325829372	   
df.mm.trans2:exp8	-0.135765053129506	0.339357276701267	-0.400065248192743	0.689231922783809	   
df.mm.trans1:probe2	0.0737487929625049	0.194945913556897	0.378303867041464	0.705320894745316	   
df.mm.trans1:probe3	0.358911464987340	0.194945913556897	1.84108226963469	0.0660373903102418	.  
df.mm.trans1:probe4	0.268273331212434	0.194945913556897	1.37614236850436	0.169222723523527	   
df.mm.trans1:probe5	0.136555698892517	0.194945913556897	0.7004799249237	0.48386308025693	   
df.mm.trans1:probe6	0.251597993386659	0.194945913556897	1.29060409010947	0.197272032117029	   
df.mm.trans1:probe7	-0.0115337915311205	0.194945913556897	-0.0591640589981093	0.952838517132365	   
df.mm.trans1:probe8	0.0179238492417351	0.194945913556897	0.0919426774057714	0.926770192605528	   
df.mm.trans1:probe9	0.242748418550057	0.194945913556897	1.24520906399614	0.213476398950061	   
df.mm.trans1:probe10	-0.0822086717618793	0.194945913556897	-0.421699897484058	0.673375043886439	   
df.mm.trans1:probe11	0.0606952174153671	0.194945913556897	0.311343881530775	0.755632980599047	   
df.mm.trans1:probe12	0.0799312983413315	0.194945913556897	0.410017819214266	0.681919777443322	   
df.mm.trans1:probe13	0.152851074155635	0.194945913556897	0.784069136750714	0.433267839234281	   
df.mm.trans1:probe14	0.132718048258568	0.194945913556897	0.68079420510568	0.496229445420844	   
df.mm.trans1:probe15	0.288363368136499	0.194945913556897	1.47919678271347	0.13954278700953	   
df.mm.trans1:probe16	0.0333334672436557	0.194945913556897	0.170988284060271	0.864282961404454	   
df.mm.trans1:probe17	-0.0245685572880439	0.194945913556897	-0.126027557283848	0.899746717138156	   
df.mm.trans1:probe18	0.0269350692400112	0.194945913556897	0.138166883052668	0.890148721921707	   
df.mm.trans1:probe19	-0.041011483038351	0.194945913556897	-0.210373648208745	0.833437985304093	   
df.mm.trans1:probe20	0.16159386200059	0.194945913556897	0.828916385330782	0.40743753972397	   
df.mm.trans1:probe21	0.245910965768185	0.194945913556897	1.26143175448719	0.207578389393377	   
df.mm.trans1:probe22	-0.0052030518250353	0.194945913556897	-0.0266897198823136	0.978714907298583	   
df.mm.trans2:probe2	0.218830474846066	0.194945913556897	1.12251891231461	0.262031187180674	   
df.mm.trans2:probe3	0.416335904214439	0.194945913556897	2.13564827606878	0.0330585051037072	*  
df.mm.trans2:probe4	0.039060897722739	0.194945913556897	0.200367871324160	0.841251755480524	   
df.mm.trans2:probe5	0.309784435233081	0.194945913556897	1.58907888645056	0.112499331879185	   
df.mm.trans2:probe6	0.204238847793338	0.194945913556897	1.04766929486690	0.295156777701939	   
df.mm.trans3:probe2	0.291192410716932	0.194945913556897	1.49370871850538	0.135707575310018	   
df.mm.trans3:probe3	-0.0952285827290291	0.194945913556897	-0.48848719622551	0.625359550749669