chr9.24387_chr9_106170627_106172743_+_2.R 

fitVsDatCorrelation=0.852430836450906
cont.fitVsDatCorrelation=0.278856677641891

fstatistic=10225.5070906347,49,623
cont.fstatistic=3022.00602576581,49,623

residuals=-0.615624763188918,-0.0798865928248648,-0.00410285312110214,0.0729828183119133,0.884935484102682
cont.residuals=-0.650366481677761,-0.191847212155279,-0.0163261192568387,0.132781073529472,0.968636099270775

predictedValues:
Include	Exclude	Both
chr9.24387_chr9_106170627_106172743_+_2.R.tl.Lung	68.7567588518632	68.1936933118607	59.432567883175
chr9.24387_chr9_106170627_106172743_+_2.R.tl.cerebhem	70.200447032787	54.0718810175496	64.5119364380927
chr9.24387_chr9_106170627_106172743_+_2.R.tl.cortex	62.9324864503005	61.760052980399	59.9431135763156
chr9.24387_chr9_106170627_106172743_+_2.R.tl.heart	64.3202818184912	64.0169072355003	64.9701540703908
chr9.24387_chr9_106170627_106172743_+_2.R.tl.kidney	70.0549101524262	69.03138586391	59.8088351474497
chr9.24387_chr9_106170627_106172743_+_2.R.tl.liver	72.4043135490773	66.334626757322	58.6827594665483
chr9.24387_chr9_106170627_106172743_+_2.R.tl.stomach	68.615403916066	69.4644587143405	67.1028847161952
chr9.24387_chr9_106170627_106172743_+_2.R.tl.testicle	68.614801760541	61.6279113888775	59.1025191853409


diffExp=0.563065540002412,16.1285660152374,1.17243346990153,0.303374582990898,1.0235242885161,6.0696867917552,-0.849054798274523,6.98689037166353
diffExpScore=1.02154759919670
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=0,0,0,0,0,0,0,0
diffExp1.3Score=0
diffExp1.2=0,1,0,0,0,0,0,0
diffExp1.2Score=0.5

cont.predictedValues:
Include	Exclude	Both
Lung	64.6598750431341	69.9096028254718	64.6066384026474
cerebhem	61.0366905388336	67.5529602747904	57.7741887557048
cortex	62.8818897021079	64.8225974837375	70.3376951799382
heart	67.654563335326	67.7635299723956	57.9338326184485
kidney	65.8589865482581	64.4611358839366	65.6043489934577
liver	62.4831075904421	61.6628117061418	68.1601775267869
stomach	59.4980462283974	66.5040314263086	70.8702791049018
testicle	62.1471123849128	69.0686900422774	65.7434549369423
cont.diffExp=-5.24972778233771,-6.51626973595675,-1.94070778162961,-0.108966637069614,1.39785066432144,0.82029588430023,-7.00598519791115,-6.92157765736458
cont.diffExpScore=1.12954879040096

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=0.128607430441208
cont.tran.correlation=0.0838592281588547

tran.covariance=0.000419932306686541
cont.tran.covariance=0.000135425031672567

tran.mean=66.275020050082
cont.tran.mean=64.8728519366545

weightedLogRatios:
wLogRatio
Lung	0.0347540203218452
cerebhem	1.07570423144780
cortex	0.077717741487775
heart	0.0196747187637952
kidney	0.0624329926733895
liver	0.371095993648193
stomach	-0.0520786863263619
testicle	0.448347233409212

cont.weightedLogRatios:
wLogRatio
Lung	-0.328499072563171
cerebhem	-0.422199256536297
cortex	-0.126339930439460
heart	-0.00678370782965457
kidney	0.089606292087421
liver	0.0545562427990307
stomach	-0.461039493073875
testicle	-0.44163932242205

varWeightedLogRatios=0.141587261031989
cont.varWeightedLogRatios=0.0548029515724005

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.19126129453989	0.0761335064325861	55.0514680188955	1.72995712825921e-241	***
df.mm.trans1	0.208856829011968	0.0665398571788164	3.13882292308946	0.00177644385566758	** 
df.mm.trans2	0.0434918090351732	0.0607918346698554	0.715421886366251	0.474616420567804	   
df.mm.exp2	-0.293266069833316	0.081243192017069	-3.60973101317464	0.000331148832293335	***
df.mm.exp3	-0.196161506186937	0.081243192017069	-2.41449777288075	0.0160440462704028	*  
df.mm.exp4	-0.218990538352507	0.081243192017069	-2.69549402128978	0.00721818207575472	** 
df.mm.exp5	0.0246024666302246	0.081243192017069	0.302824963168060	0.762124342028982	   
df.mm.exp6	0.0367471614530140	0.081243192017069	0.45231065570754	0.651202648761064	   
df.mm.exp7	-0.104979514031494	0.081243192017069	-1.29216382844040	0.196779506358776	   
df.mm.exp8	-0.0977351663204789	0.081243192017069	-1.20299515435022	0.229435160070654	   
df.mm.trans1:exp2	0.314045706546156	0.0754185042074785	4.16404050764793	3.56750825467882e-05	***
df.mm.trans2:exp2	0.0612282740438057	0.0633642176453489	0.96629101280003	0.334273527736362	   
df.mm.trans1:exp3	0.107648972024764	0.0754185042074785	1.42735490654414	0.153978639269176	   
df.mm.trans2:exp3	0.0970661826059803	0.0633642176453489	1.53187692065042	0.126060421511495	   
df.mm.trans1:exp4	0.152290502432943	0.0754185042074784	2.01927237928225	0.0438866628811968	*  
df.mm.trans2:exp4	0.155785675238294	0.0633642176453489	2.45857490279815	0.0142199225105533	*  
df.mm.trans1:exp5	-0.00589814362398865	0.0754185042074784	-0.0782055237765348	0.937689679010284	   
df.mm.trans2:exp5	-0.0123932850013270	0.0633642176453489	-0.195588069447848	0.844996372829819	   
df.mm.trans1:exp6	0.0149436732839512	0.0754185042074784	0.198143326243129	0.842997564286188	   
df.mm.trans2:exp6	-0.0643872138729873	0.0633642176453489	-1.01614469910075	0.309954940845062	   
df.mm.trans1:exp7	0.102921528150816	0.0754185042074784	1.36467209516216	0.172848814512863	   
df.mm.trans2:exp7	0.123442663254598	0.0633642176453489	1.94814467599852	0.0518463398862144	.  
df.mm.trans1:exp8	0.0956684045945409	0.0754185042074784	1.26850042439657	0.205093078914615	   
df.mm.trans2:exp8	-0.00350204594006990	0.0633642176453489	-0.0552685106864405	0.955942267817166	   
df.mm.trans1:probe2	-0.0363335833577918	0.0440349194218225	-0.825108432917578	0.409625849068722	   
df.mm.trans1:probe3	0.388464309024359	0.0440349194218225	8.82173316370022	1.12825646347571e-17	***
df.mm.trans1:probe4	0.254382099737008	0.0440349194218225	5.77682673380669	1.20261322725801e-08	***
df.mm.trans1:probe5	0.0540684997224312	0.0440349194218225	1.22785508483607	0.219965073441534	   
df.mm.trans1:probe6	-0.294179703052035	0.0440349194218225	-6.68060046241955	5.2818798721492e-11	***
df.mm.trans1:probe7	-0.137177562497365	0.0440349194218225	-3.11519958020823	0.00192265937374527	** 
df.mm.trans1:probe8	-0.258087384060695	0.0440349194218225	-5.86097096234935	7.4612884166354e-09	***
df.mm.trans1:probe9	-0.215148202604868	0.0440349194218225	-4.88585434990591	1.31110800323602e-06	***
df.mm.trans1:probe10	-0.131606263050390	0.0440349194218225	-2.98867954746771	0.00291220680485142	** 
df.mm.trans1:probe11	-0.249885779342004	0.0440349194218225	-5.67471866925154	2.12954247582863e-08	***
df.mm.trans1:probe12	-0.400626364102772	0.0440349194218225	-9.09792431467996	1.22700050918922e-18	***
df.mm.trans1:probe13	-0.520499691349302	0.0440349194218225	-11.8201576881132	3.14057120358164e-29	***
df.mm.trans1:probe14	-0.54412332682936	0.0440349194218225	-12.3566327354219	1.58657751531440e-31	***
df.mm.trans1:probe15	-0.572453236568497	0.0440349194218225	-12.9999837421027	2.33142318464025e-34	***
df.mm.trans1:probe16	-0.469324843039052	0.0440349194218225	-10.6580152570114	1.77136544184797e-24	***
df.mm.trans1:probe17	-0.597416756454965	0.0440349194218225	-13.5668865595539	6.3821542676859e-37	***
df.mm.trans2:probe2	0.0328741632685548	0.0440349194218225	0.746547596775282	0.455618314021113	   
df.mm.trans2:probe3	-0.0201781679203762	0.0440349194218225	-0.458231062650167	0.64694623685911	   
df.mm.trans2:probe4	-0.0912183722849855	0.0440349194218225	-2.07150083349034	0.0387230501989694	*  
df.mm.trans2:probe5	-0.0453621405798732	0.0440349194218225	-1.03014019726792	0.303343953166112	   
df.mm.trans2:probe6	-0.0125266632650504	0.0440349194218225	-0.284471129492803	0.776143883740674	   
df.mm.trans3:probe2	-0.443870701687245	0.0440349194218225	-10.0799707939803	3.07796774994691e-22	***
df.mm.trans3:probe3	-0.404665458146751	0.0440349194218225	-9.18964911165953	5.80702836738884e-19	***
df.mm.trans3:probe4	-0.540836368807318	0.0440349194218225	-12.2819883835031	3.33946413171127e-31	***
df.mm.trans3:probe5	-0.404465349398336	0.0440349194218225	-9.1851047920368	6.02707761945963e-19	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.24701394312042	0.139839143244194	30.3707091204362	5.18386058471509e-125	***
df.mm.trans1	-0.0921522874385524	0.122217891378954	-0.753999978225945	0.451134113942349	   
df.mm.trans2	0.0354044041396057	0.111660141175853	0.317072894291325	0.751294517478511	   
df.mm.exp2	0.0198182479889969	0.149224420343102	0.132808342920215	0.89438783981912	   
df.mm.exp3	-0.188422082204602	0.149224420343102	-1.26267591974139	0.207178079964116	   
df.mm.exp4	0.123110717329254	0.149224420343102	0.825003823410362	0.409685191392859	   
df.mm.exp5	-0.0780902946567107	0.149224420343102	-0.52330774331147	0.600946189795903	   
df.mm.exp6	-0.213309915732091	0.149224420343102	-1.42945715749233	0.153374121141316	   
df.mm.exp7	-0.225671798684204	0.149224420343102	-1.51229804187098	0.130965137606152	   
df.mm.exp8	-0.0691809411972789	0.149224420343102	-0.463603350163571	0.64309387853172	   
df.mm.trans1:exp2	-0.0774839201651776	0.138525854217302	-0.559346272239049	0.576126442381724	   
df.mm.trans2:exp2	-0.0541093803635018	0.116384996870073	-0.464917144122168	0.642153240328298	   
df.mm.trans1:exp3	0.160539442614902	0.138525854217302	1.15891321170319	0.246935577398956	   
df.mm.trans2:exp3	0.112873332091240	0.116384996870073	0.96982716953841	0.332509007003187	   
df.mm.trans1:exp4	-0.077836749693327	0.138525854217302	-0.56189330239557	0.574390803828421	   
df.mm.trans2:exp4	-0.154289592399598	0.116384996870073	-1.32568283325934	0.185430661889677	   
df.mm.trans1:exp5	0.0964653437424395	0.138525854217302	0.696370683201974	0.486456438060219	   
df.mm.trans2:exp5	-0.00305022686099383	0.116384996870073	-0.0262080761526244	0.979099766710162	   
df.mm.trans1:exp6	0.179065317616168	0.138525854217302	1.29264907715547	0.196611653032081	   
df.mm.trans2:exp6	0.0877879180334303	0.116384996870073	0.754288958150101	0.450960736472926	   
df.mm.trans1:exp7	0.142474434425616	0.138525854217302	1.02850428341066	0.304111817019643	   
df.mm.trans2:exp7	0.175731348179035	0.116384996870073	1.50991410323457	0.131572335128657	   
df.mm.trans1:exp8	0.0295444562723266	0.138525854217302	0.213277560634862	0.831180248068337	   
df.mm.trans2:exp8	0.0570794391828075	0.116384996870073	0.490436402610625	0.623997803442682	   
df.mm.trans1:probe2	0.110511010745140	0.0808816734354319	1.36632942978562	0.172328530219563	   
df.mm.trans1:probe3	0.182418116189085	0.0808816734354319	2.25537020243171	0.0244562872159403	*  
df.mm.trans1:probe4	-0.0827094825781895	0.0808816734354319	-1.02259855743733	0.306894601319507	   
df.mm.trans1:probe5	0.0401934926902993	0.0808816734354319	0.496941902696732	0.619405334445757	   
df.mm.trans1:probe6	0.00760840442817187	0.0808816734354319	0.0940683359407207	0.925085117982189	   
df.mm.trans1:probe7	0.0483106147000354	0.0808816734354319	0.597299890668087	0.550524197612313	   
df.mm.trans1:probe8	-0.0129511076592694	0.0808816734354319	-0.160124130834266	0.872835195137064	   
df.mm.trans1:probe9	0.0418380101692043	0.0808816734354319	0.517274289615233	0.60514829934693	   
df.mm.trans1:probe10	-0.0947557797653069	0.0808816734354319	-1.17153584663342	0.241831307263985	   
df.mm.trans1:probe11	0.0181528126344925	0.0808816734354319	0.224436659918813	0.822491134532734	   
df.mm.trans1:probe12	-0.0378701338981827	0.0808816734354319	-0.46821649812197	0.639793537394052	   
df.mm.trans1:probe13	0.130938813064489	0.0808816734354319	1.61889347120171	0.105976280465620	   
df.mm.trans1:probe14	-0.0339501306945009	0.0808816734354319	-0.419750596797474	0.674812369342503	   
df.mm.trans1:probe15	0.0289871700436790	0.0808816734354319	0.358389840522025	0.72017299935804	   
df.mm.trans1:probe16	-0.0331640193873572	0.0808816734354319	-0.410031320801395	0.6819239301097	   
df.mm.trans1:probe17	0.000584259334563049	0.0808816734354319	0.00722363064148846	0.994238739210588	   
df.mm.trans2:probe2	-0.0186052691907081	0.0808816734354319	-0.230030715246771	0.818143409762106	   
df.mm.trans2:probe3	-0.0573454793144272	0.0808816734354319	-0.709004609804548	0.478586843975061	   
df.mm.trans2:probe4	-0.11628572248952	0.0808816734354319	-1.43772646571601	0.151013763860889	   
df.mm.trans2:probe5	-0.083308566468453	0.0808816734354319	-1.03000547503457	0.303407140122337	   
df.mm.trans2:probe6	-0.111823570300799	0.0808816734354319	-1.38255757517267	0.167295953575073	   
df.mm.trans3:probe2	-0.060889306367534	0.0808816734354319	-0.752819566921326	0.451842710460965	   
df.mm.trans3:probe3	0.0643811475823771	0.0808816734354319	0.795991784637997	0.426340001128677	   
df.mm.trans3:probe4	-0.0743537849892801	0.0808816734354319	-0.919290882979034	0.358299231869403	   
df.mm.trans3:probe5	-0.0388825195337933	0.0808816734354319	-0.480733371136705	0.63087478264225