chr19.11765_chr19_3111053_3111587_-_0.R 

fitVsDatCorrelation=0.846015978731256
cont.fitVsDatCorrelation=0.206082996054842

fstatistic=9399.92336257548,43,485
cont.fstatistic=2782.57636116305,43,485

residuals=-0.92074001817049,-0.0765869153122185,-0.00990711024896586,0.0697725606126851,1.22331907783426
cont.residuals=-0.434090764906065,-0.172323000734982,-0.0605428407152657,0.0969792040851565,1.20452252738625

predictedValues:
Include	Exclude	Both
chr19.11765_chr19_3111053_3111587_-_0.R.tl.Lung	46.764426415003	67.6075816008075	60.2112086484512
chr19.11765_chr19_3111053_3111587_-_0.R.tl.cerebhem	49.3018203705499	52.8827787260352	65.1510422179929
chr19.11765_chr19_3111053_3111587_-_0.R.tl.cortex	51.9123254241605	57.5372218514126	65.0776573154761
chr19.11765_chr19_3111053_3111587_-_0.R.tl.heart	52.6078623609707	64.7365578419439	59.7095505798893
chr19.11765_chr19_3111053_3111587_-_0.R.tl.kidney	50.6919039742796	74.9523511715414	63.1475509123164
chr19.11765_chr19_3111053_3111587_-_0.R.tl.liver	53.4380222916339	76.075043047367	61.6748338314576
chr19.11765_chr19_3111053_3111587_-_0.R.tl.stomach	49.6058411359622	60.6753830857013	61.6098885408865
chr19.11765_chr19_3111053_3111587_-_0.R.tl.testicle	51.213111251455	86.0116753002937	71.2745354782245


diffExp=-20.8431551858045,-3.58095835548527,-5.62489642725211,-12.1286954809732,-24.2604471972618,-22.6370207557332,-11.0695419497391,-34.7985640488388
diffExpScore=0.992643990902635
diffExp1.5=0,0,0,0,0,0,0,-1
diffExp1.5Score=0.5
diffExp1.4=-1,0,0,0,-1,-1,0,-1
diffExp1.4Score=0.8
diffExp1.3=-1,0,0,0,-1,-1,0,-1
diffExp1.3Score=0.8
diffExp1.2=-1,0,0,-1,-1,-1,-1,-1
diffExp1.2Score=0.857142857142857

cont.predictedValues:
Include	Exclude	Both
Lung	60.316355897664	59.7869465522485	65.3101841570277
cerebhem	58.6234220192121	64.686789578849	64.9565844429122
cortex	55.9144797840493	66.1044958050421	61.7184003995359
heart	60.482533264759	60.542634559345	59.9792713204287
kidney	60.3531714096833	63.7037814253786	61.6038882140343
liver	59.6448230132401	65.5932555455085	59.8025296723286
stomach	61.3789568520938	66.2060995578596	65.2205707008965
testicle	62.3646320635819	60.3519654955674	59.8597902225121
cont.diffExp=0.529409345415417,-6.06336755963681,-10.1900160209928,-0.0601012945859978,-3.35061001569530,-5.94843253226843,-4.82714270576585,2.01266656801457
cont.diffExpScore=1.14133189761060

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=0.264800511752172
cont.tran.correlation=-0.52020495841756

tran.covariance=0.00176271668791947
cont.tran.covariance=-0.000744092129791492

tran.mean=59.1258691155698
cont.tran.mean=61.6283964265051

weightedLogRatios:
wLogRatio
Lung	-1.48523401700904
cerebhem	-0.27577048585373
cortex	-0.411605590495969
heart	-0.843657984044512
kidney	-1.61178797957811
liver	-1.46757948936587
stomach	-0.806689455276522
testicle	-2.17517900852282

cont.weightedLogRatios:
wLogRatio
Lung	0.0361030658921895
cerebhem	-0.405535507903324
cortex	-0.687655504519745
heart	-0.00407496547103914
kidney	-0.222995931205197
liver	-0.393185312253795
stomach	-0.314550461113983
testicle	0.135044128591688

varWeightedLogRatios=0.428116309376076
cont.varWeightedLogRatios=0.0755947493281399

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.9037107057662	0.0748808779661094	52.1322774491639	6.26003097031197e-201	***
df.mm.trans1	-0.0860352528145109	0.0599460587481089	-1.43521116502467	0.151871488106216	   
df.mm.trans2	0.285716921638410	0.0599460587481089	4.76623363746034	2.48476236236248e-06	***
df.mm.exp2	-0.271653954008286	0.08027185659831	-3.38417429869195	0.000771793813215851	***
df.mm.exp3	-0.134577363734015	0.08027185659831	-1.67651988426599	0.0942808069145853	.  
df.mm.exp4	0.0827152774213532	0.08027185659831	1.03043932115923	0.303317407400531	   
df.mm.exp5	0.136160340859388	0.08027185659831	1.69624008499954	0.0904821135557807	.  
df.mm.exp6	0.227382414004090	0.08027185659831	2.83265422826756	0.00480850001822711	** 
df.mm.exp7	-0.07216012896728	0.08027185659831	-0.89894680433739	0.369127074278143	   
df.mm.exp8	0.162955107267183	0.08027185659831	2.03004034256526	0.0428977110137964	*  
df.mm.trans1:exp2	0.324492164178293	0.0629704251057084	5.15308835272382	3.73553955085802e-07	***
df.mm.trans2:exp2	0.0260115653220856	0.0629704251057084	0.413075904734961	0.67973356302522	   
df.mm.trans1:exp3	0.23901081524997	0.0629704251057084	3.79560428326064	0.000165933282211808	***
df.mm.trans2:exp3	-0.0267106919665433	0.0629704251057084	-0.424178365029362	0.67162381717468	   
df.mm.trans1:exp4	0.0350275111463978	0.0629704251057084	0.556253369539702	0.578294198716019	   
df.mm.trans2:exp4	-0.126109329908618	0.0629704251057084	-2.00267553691941	0.0457682370173095	*  
df.mm.trans1:exp5	-0.0555169224875737	0.0629704251057084	-0.881634868978215	0.378411004191627	   
df.mm.trans2:exp5	-0.0330278775539194	0.0629704251057084	-0.524498246573301	0.600171672405988	   
df.mm.trans1:exp6	-0.0939826880252226	0.0629704251057084	-1.49248933713651	0.136221094574391	   
df.mm.trans2:exp6	-0.109382282985144	0.0629704251057084	-1.73704215592516	0.0830146037557929	.  
df.mm.trans1:exp7	0.131145926053499	0.0629704251057084	2.08265905515716	0.0378057150279418	*  
df.mm.trans2:exp7	-0.0360219363260287	0.0629704251057084	-0.572045309612548	0.567556317960539	   
df.mm.trans1:exp8	-0.07208232342328	0.0629704251057084	-1.14470123557647	0.252897525539687	   
df.mm.trans2:exp8	0.0778078084593615	0.0629704251057084	1.23562463376650	0.217196282301627	   
df.mm.trans1:probe2	0.133656567631169	0.0431129028576076	3.10015236210391	0.00204670903068607	** 
df.mm.trans1:probe3	0.0400114659138812	0.0431129028576076	0.928062442142442	0.353836806788973	   
df.mm.trans1:probe4	0.113288689816750	0.0431129028576076	2.62772122283015	0.00886823808288823	** 
df.mm.trans1:probe5	0.100937218662168	0.0431129028576076	2.34122993284728	0.0196243759821519	*  
df.mm.trans1:probe6	0.0512635235310289	0.0431129028576076	1.18905293156299	0.235000667471018	   
df.mm.trans2:probe2	0.317697910198928	0.0431129028576076	7.36897515920497	7.46221656854937e-13	***
df.mm.trans2:probe3	0.0940582720654857	0.0431129028576076	2.18167336994540	0.0296130066120969	*  
df.mm.trans2:probe4	-0.0183030312035114	0.0431129028576076	-0.424537203258205	0.671362337597184	   
df.mm.trans2:probe5	-0.0340787746571219	0.0431129028576076	-0.790454188846354	0.429648893569433	   
df.mm.trans2:probe6	0.0293056750143582	0.0431129028576076	0.679742561319712	0.496991780848991	   
df.mm.trans3:probe2	-0.158470952900229	0.0431129028576076	-3.67571985174887	0.000263649683492801	***
df.mm.trans3:probe3	-0.077757657845239	0.0431129028576076	-1.80358205296580	0.0719172715481675	.  
df.mm.trans3:probe4	0.710863102522605	0.0431129028576076	16.4884073074464	8.1216770029195e-49	***
df.mm.trans3:probe5	-0.156623031438797	0.0431129028576076	-3.63285747554712	0.000310180620255142	***
df.mm.trans3:probe6	-0.0506272609495211	0.0431129028576076	-1.17429487679667	0.240853202395569	   
df.mm.trans3:probe7	-0.00260934226135937	0.0431129028576076	-0.060523464865668	0.951763658982966	   
df.mm.trans3:probe8	-0.252682055606549	0.0431129028576076	-5.86093811500241	8.51110108259549e-09	***
df.mm.trans3:probe9	-0.0182527237769229	0.0431129028576076	-0.423370326911356	0.672212767334559	   
df.mm.trans3:probe10	-0.0491785720735308	0.0431129028576076	-1.14069266539432	0.254560790984625	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.98898334395136	0.137433156256254	29.0248980130647	4.1491201075033e-108	***
df.mm.trans1	0.0922498953954839	0.110022428724783	0.838464451882295	0.402182940696789	   
df.mm.trans2	0.118627804119227	0.110022428724783	1.07821473761473	0.281473895041384	   
df.mm.exp2	0.0557295184091069	0.147327527541119	0.378269555861194	0.705395868290048	   
df.mm.exp3	0.0812353489479075	0.147327527541119	0.551392874798871	0.581618319039296	   
df.mm.exp4	0.100460735318191	0.147327527541119	0.68188706479278	0.49563586140992	   
df.mm.exp5	0.122489753954900	0.147327527541119	0.831411182955697	0.406150516457438	   
df.mm.exp6	0.169589594537531	0.147327527541119	1.15110595669366	0.250255820449144	   
df.mm.exp7	0.12082205300712	0.147327527541119	0.820091499692063	0.41256679915011	   
df.mm.exp8	0.129944160735903	0.147327527541119	0.882008697930778	0.378209018464080	   
df.mm.trans1:exp2	-0.084198517559193	0.115573221203314	-0.728529642788725	0.466641042104368	   
df.mm.trans2:exp2	0.0230401305848416	0.115573221203315	0.199355268849951	0.842068398400547	   
df.mm.trans1:exp3	-0.157015281240895	0.115573221203314	-1.35857839390559	0.174911757558452	   
df.mm.trans2:exp3	0.0192140587522018	0.115573221203315	0.166250092816923	0.868029422220353	   
df.mm.trans1:exp4	-0.0977094273703565	0.115573221203314	-0.84543310598281	0.398285951167891	   
df.mm.trans2:exp4	-0.0879002670575132	0.115573221203314	-0.760559116915852	0.4472900298456	   
df.mm.trans1:exp5	-0.121879566544986	0.115573221203315	-1.05456580058955	0.292149007728900	   
df.mm.trans2:exp5	-0.0590331821524022	0.115573221203314	-0.510785989503157	0.609733335846976	   
df.mm.trans1:exp6	-0.18078554818173	0.115573221203314	-1.56425118465544	0.118410811324477	   
df.mm.trans2:exp6	-0.0769040677287312	0.115573221203314	-0.665414244995758	0.506101889897303	   
df.mm.trans1:exp7	-0.103358307912964	0.115573221203315	-0.894310177018754	0.371599534226072	   
df.mm.trans2:exp7	-0.0188368080218598	0.115573221203314	-0.162985922047828	0.8705974068582	   
df.mm.trans1:exp8	-0.0965491489393671	0.115573221203315	-0.835393769716944	0.40390737439566	   
df.mm.trans2:exp8	-0.120537997494336	0.115573221203315	-1.04295784299624	0.297487397010305	   
df.mm.trans1:probe2	0.0449189988961634	0.0791275753707371	0.567678191650686	0.570516185118017	   
df.mm.trans1:probe3	0.00274693547817943	0.0791275753707371	0.0347152742303702	0.9723210638178	   
df.mm.trans1:probe4	0.114733334222806	0.0791275753707371	1.44997914677967	0.147710680160123	   
df.mm.trans1:probe5	0.0315774436535379	0.0791275753707371	0.399070027175581	0.690017260180828	   
df.mm.trans1:probe6	0.0999444028019824	0.0791275753707371	1.26307930369043	0.207167555852537	   
df.mm.trans2:probe2	-0.0951977141043646	0.0791275753707371	-1.20309150960754	0.229527860194707	   
df.mm.trans2:probe3	-0.122159128022324	0.0791275753707371	-1.54382498705377	0.123282943914707	   
df.mm.trans2:probe4	-0.00854233331150197	0.0791275753707371	-0.107956464879386	0.914074871561395	   
df.mm.trans2:probe5	-0.053583703180924	0.0791275753707371	-0.677181158778944	0.498613890561218	   
df.mm.trans2:probe6	0.0103021422812836	0.0791275753707371	0.130196612660187	0.89646485581667	   
df.mm.trans3:probe2	-0.0620486205470914	0.0791275753707371	-0.784159254929454	0.433329476187458	   
df.mm.trans3:probe3	-0.0715902440049688	0.0791275753707371	-0.904744568117327	0.366049920060171	   
df.mm.trans3:probe4	-0.0221913883331838	0.0791275753707371	-0.280450756000172	0.779251286470014	   
df.mm.trans3:probe5	-0.0440207353201434	0.0791275753707371	-0.556326098883893	0.578244526814996	   
df.mm.trans3:probe6	-0.0244234638569359	0.0791275753707371	-0.308659323156364	0.757713224293307	   
df.mm.trans3:probe7	-0.00836128624669317	0.0791275753707371	-0.105668424787667	0.915889122034787	   
df.mm.trans3:probe8	-0.0334755816041503	0.0791275753707371	-0.423058351621503	0.672440209023658	   
df.mm.trans3:probe9	0.0340965124105833	0.0791275753707371	0.430905562957422	0.666728480332319	   
df.mm.trans3:probe10	0.0248842093184352	0.0791275753707371	0.314482141046848	0.7532901152484