chr10.2334_chr10_111066263_111069846_+_2.R 

fitVsDatCorrelation=0.91876181955942
cont.fitVsDatCorrelation=0.231792396156147

fstatistic=9596.9201067251,51,669
cont.fstatistic=1569.91630349442,51,669

residuals=-0.623175168881614,-0.0992661239045317,-0.00353805846301329,0.0876350160953656,1.05148729284117
cont.residuals=-0.885519354730276,-0.283173014670184,-0.0498179891511965,0.258955891432479,1.33382901320173

predictedValues:
Include	Exclude	Both
chr10.2334_chr10_111066263_111069846_+_2.R.tl.Lung	90.8794811079102	98.9375311638349	86.0913903087033
chr10.2334_chr10_111066263_111069846_+_2.R.tl.cerebhem	62.7000462969322	81.264297050064	80.321343660657
chr10.2334_chr10_111066263_111069846_+_2.R.tl.cortex	75.4058144252771	83.8923310258966	70.3640116334036
chr10.2334_chr10_111066263_111069846_+_2.R.tl.heart	97.3826549284405	92.305665852096	91.0251039681958
chr10.2334_chr10_111066263_111069846_+_2.R.tl.kidney	163.998127418976	94.3372983415948	152.798033412354
chr10.2334_chr10_111066263_111069846_+_2.R.tl.liver	83.0831254507364	100.444042947386	89.7084622933913
chr10.2334_chr10_111066263_111069846_+_2.R.tl.stomach	129.537047426337	94.8318396373941	130.403360562241
chr10.2334_chr10_111066263_111069846_+_2.R.tl.testicle	66.6081210756388	92.0914151185161	74.8033334447537


diffExp=-8.05805005592467,-18.5642507531317,-8.48651660061945,5.07698907634462,69.6608290773814,-17.3609174966494,34.7052077889425,-25.4832940428773
diffExpScore=5.76780770184613
diffExp1.5=0,0,0,0,1,0,0,0
diffExp1.5Score=0.5
diffExp1.4=0,0,0,0,1,0,0,0
diffExp1.4Score=0.5
diffExp1.3=0,0,0,0,1,0,1,-1
diffExp1.3Score=1.5
diffExp1.2=0,-1,0,0,1,-1,1,-1
diffExp1.2Score=2.5

cont.predictedValues:
Include	Exclude	Both
Lung	88.2367170392474	78.237778800224	78.1599285302173
cerebhem	97.9375485290186	81.8639502859845	84.7478761547595
cortex	91.6170825897217	86.3329368421642	78.7560578027319
heart	87.403864893979	82.8034969417718	111.790357778094
kidney	87.8842593153622	80.7557346018087	91.496547043387
liver	96.0139355253334	81.484131900003	97.983958348789
stomach	92.7923108098062	83.1364669777471	93.8073518336
testicle	88.7259128062655	82.7137411292044	81.4927900785868
cont.diffExp=9.99893823902335,16.0735982430341,5.28414574755755,4.60036795220724,7.12852471355352,14.5298036253303,9.65584383205905,6.01217167706115
cont.diffExpScore=0.986538041064757

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=0.390324397142513
cont.tran.correlation=0.163642835482492

tran.covariance=0.0115496676758903
cont.tran.covariance=0.000212482321426192

tran.mean=94.2311774541894
cont.tran.mean=86.7462418117276

weightedLogRatios:
wLogRatio
Lung	-0.386713434714684
cerebhem	-1.10689162354734
cortex	-0.466721919277746
heart	0.243719270487384
kidney	2.66721696977472
liver	-0.856709737994802
stomach	1.46825616323754
testicle	-1.41270524898266

cont.weightedLogRatios:
wLogRatio
Lung	0.53158227646112
cerebhem	0.805769654090869
cortex	0.266611582203379
heart	0.2402567921176
kidney	0.375056487896394
liver	0.735503131239093
stomach	0.49176107059716
testicle	0.312272675223316

varWeightedLogRatios=1.94981472440183
cont.varWeightedLogRatios=0.0450771268407156

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.29328566194269	0.0884280910784566	48.5511516711758	1.93742038229797e-221	***
df.mm.trans1	0.253431275205432	0.078326250169564	3.23558544749421	0.00127374342698483	** 
df.mm.trans2	0.455559373819506	0.0715259905480324	6.36914456310229	3.53457555265366e-10	***
df.mm.exp2	-0.498579917120112	0.0965240052095596	-5.1653463409197	3.17041210766299e-07	***
df.mm.exp3	-0.149876832389864	0.0965240052095596	-1.55274153889980	0.120957809567985	   
df.mm.exp4	-0.0559951854002999	0.0965240052095596	-0.580116679563088	0.562031263950344	   
df.mm.exp5	-0.0309988446716517	0.0965240052095596	-0.321151661748301	0.748195763729527	   
df.mm.exp6	-0.115736188571249	0.0965240052095596	-1.19904046998442	0.230936732296267	   
df.mm.exp7	-0.103173773502105	0.0965240052095597	-1.06889237840999	0.285503688203505	   
df.mm.exp8	-0.241867702189753	0.0965240052095596	-2.50577772508137	0.0124546204665469	*  
df.mm.trans1:exp2	0.127407857830320	0.0912066119044277	1.39691471012898	0.162902406925054	   
df.mm.trans2:exp2	0.301798033917013	0.0773913765200047	3.8996338802554	0.000106058763941691	***
df.mm.trans1:exp3	-0.0367730264922602	0.0912066119044277	-0.403183779382063	0.686941850435975	   
df.mm.trans2:exp3	-0.0150776170685897	0.0773913765200047	-0.194822960213046	0.845590696046741	   
df.mm.trans1:exp4	0.125109054057217	0.0912066119044277	1.37171035569564	0.170613461404766	   
df.mm.trans2:exp4	-0.0133879424213296	0.0773913765200047	-0.172990105917925	0.86271152856847	   
df.mm.trans1:exp5	0.621319608937219	0.0912066119044277	6.81222113138331	2.14438036289726e-11	***
df.mm.trans2:exp5	-0.0166131679730835	0.0773913765200047	-0.214664329801514	0.830094451631984	   
df.mm.trans1:exp6	0.0260435613280325	0.0912066119044278	0.285544663750065	0.77531527598237	   
df.mm.trans2:exp6	0.130848321787741	0.0773913765200047	1.69073516548602	0.091353187094414	.  
df.mm.trans1:exp7	0.457606448924253	0.0912066119044278	5.01725082611076	6.72502078450546e-07	***
df.mm.trans2:exp7	0.0607903349020489	0.0773913765200047	0.785492358910755	0.432443042444251	   
df.mm.trans1:exp8	-0.068840034941561	0.0912066119044278	-0.75477022448434	0.45065247272558	   
df.mm.trans2:exp8	0.170160775869084	0.0773913765200047	2.19870460406012	0.0282405491690644	*  
df.mm.trans1:probe2	-0.621754179267235	0.0499559187336743	-12.4460563438326	3.92169008161651e-32	***
df.mm.trans1:probe3	-0.112046008000285	0.0499559187336743	-2.24289755529523	0.0252300339651595	*  
df.mm.trans1:probe4	0.321904049327450	0.0499559187336743	6.44376197030005	2.22938596630326e-10	***
df.mm.trans1:probe5	-0.382906927151515	0.0499559187336743	-7.66489610956558	6.31433333965808e-14	***
df.mm.trans1:probe6	-0.110721254002442	0.0499559187336743	-2.21637909599303	0.0270011959655702	*  
df.mm.trans1:probe7	-0.123255678144055	0.0499559187336743	-2.46728878716369	0.0138633606800834	*  
df.mm.trans1:probe8	0.00297676351528646	0.0499559187336743	0.05958780442326	0.95250172677516	   
df.mm.trans1:probe9	-0.149665400427245	0.0499559187336743	-2.9959493133365	0.00283709594036498	** 
df.mm.trans1:probe10	-0.306279330846318	0.0499559187336743	-6.13099185462205	1.49272730987025e-09	***
df.mm.trans1:probe11	-0.266854084234837	0.0499559187336743	-5.34179114305741	1.26295410260814e-07	***
df.mm.trans1:probe12	-0.335376534445728	0.0499559187336743	-6.71344943596557	4.0599693486887e-11	***
df.mm.trans1:probe13	-0.231059703558659	0.0499559187336743	-4.62527182795872	4.49203758598813e-06	***
df.mm.trans1:probe14	-0.386124954794976	0.0499559187336743	-7.72931345439749	3.97452567713125e-14	***
df.mm.trans1:probe15	0.127037919287652	0.0499559187336743	2.54300035927511	0.0112146007654702	*  
df.mm.trans1:probe16	0.270283959218619	0.0499559187336743	5.41044917339145	8.76466660147815e-08	***
df.mm.trans1:probe17	0.269805756102869	0.0499559187336743	5.40087667171653	9.22485127681104e-08	***
df.mm.trans1:probe18	0.407039709839762	0.0499559187336743	8.1479776602604	1.81940409810583e-15	***
df.mm.trans1:probe19	0.435289489447177	0.0499559187336743	8.7134718063699	2.30605934905683e-17	***
df.mm.trans1:probe20	0.299321804174683	0.0499559187336743	5.99171853430284	3.39231942289598e-09	***
df.mm.trans2:probe2	-0.249479873078382	0.0499559187336743	-4.9940002987116	7.55479051144296e-07	***
df.mm.trans2:probe3	-0.434711503635922	0.0499559187336743	-8.70190188981334	2.52740171730224e-17	***
df.mm.trans2:probe4	-0.298814237507594	0.0499559187336743	-5.98155824339127	3.5994259137898e-09	***
df.mm.trans2:probe5	-0.275857915799499	0.0499559187336743	-5.52202667455996	4.79961747648562e-08	***
df.mm.trans2:probe6	-0.284700301338137	0.0499559187336743	-5.69903043633198	1.80705103112179e-08	***
df.mm.trans3:probe2	-0.566653660623019	0.0499559187336743	-11.3430735533856	2.12789755018859e-27	***
df.mm.trans3:probe3	-0.893571628930148	0.0499559187336743	-17.8872023892498	8.94732399286801e-59	***
df.mm.trans3:probe4	-0.727242314240906	0.0499559187336743	-14.5576807048228	6.59491273223517e-42	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.5043035379028	0.217875141546863	20.6737836447209	8.45889644924443e-74	***
df.mm.trans1	0.010861708263204	0.192985539260231	0.0562824981853046	0.955133565886525	   
df.mm.trans2	-0.222472899326389	0.176230597368722	-1.26239655683011	0.207246004765145	   
df.mm.exp2	0.0686893445348836	0.237822405088947	0.288826212606812	0.772803843668426	   
df.mm.exp3	0.128455014905477	0.237822405088947	0.540129996824454	0.589287136561773	   
df.mm.exp4	-0.310634226965052	0.237822405088947	-1.30616048075400	0.191946891259397	   
df.mm.exp5	-0.129870256046253	0.237822405088947	-0.546080828665749	0.585192429059831	   
df.mm.exp6	-0.100920843395720	0.237822405088947	-0.424353808708541	0.671444227575923	   
df.mm.exp7	-0.0714147256991492	0.237822405088947	-0.300285945188552	0.76405233889764	   
df.mm.exp8	0.0194044682702179	0.237822405088947	0.0815922631972397	0.934995357646758	   
df.mm.trans1:exp2	0.0356175017424557	0.224721050023077	0.158496508176684	0.874113403139796	   
df.mm.trans2:exp2	-0.0233832537821662	0.190682134016015	-0.122629494906966	0.902437325618304	   
df.mm.trans1:exp3	-0.0908604388073975	0.224721050023077	-0.404325446138966	0.686102642373425	   
df.mm.trans2:exp3	-0.0299964702022813	0.190682134016015	-0.157311382930936	0.875046914757673	   
df.mm.trans1:exp4	0.301150560054882	0.224721050023077	1.34010837001677	0.180665077247474	   
df.mm.trans2:exp4	0.367351885304849	0.190682134016015	1.92651444352934	0.0544634723428635	.  
df.mm.trans1:exp5	0.125867800442143	0.224721050023077	0.560106854383323	0.575594053867202	   
df.mm.trans2:exp5	0.161546596612232	0.190682134016015	0.847203632610199	0.397184600254629	   
df.mm.trans1:exp6	0.185391016701976	0.224721050023077	0.824982869575137	0.409675373989623	   
df.mm.trans2:exp6	0.141576508316570	0.190682134016015	0.742473903216749	0.458060865048147	   
df.mm.trans1:exp7	0.121755335056609	0.224721050023077	0.541806542129036	0.588132182960641	   
df.mm.trans2:exp7	0.132145528009728	0.190682134016015	0.693014732038975	0.488540812230221	   
df.mm.trans1:exp8	-0.0138756511003793	0.224721050023077	-0.0617461118971915	0.950783459965619	   
df.mm.trans2:exp8	0.036228640539736	0.190682134016015	0.189994939623936	0.849370729382403	   
df.mm.trans1:probe2	-0.0927636327615136	0.123084788243886	-0.7536563541687	0.451320753215555	   
df.mm.trans1:probe3	-0.0300351475605005	0.123084788243886	-0.244019979958753	0.807290159990934	   
df.mm.trans1:probe4	0.0123836110380493	0.123084788243886	0.100610410228044	0.919889875788176	   
df.mm.trans1:probe5	0.025940966347746	0.123084788243886	0.210756883266073	0.833141162171688	   
df.mm.trans1:probe6	-0.00693098450345892	0.123084788243886	-0.0563106505876708	0.955111147518367	   
df.mm.trans1:probe7	0.0283383096952025	0.123084788243886	0.230234053285704	0.817980283580327	   
df.mm.trans1:probe8	-0.138399360955688	0.123084788243886	-1.12442295209914	0.261236918057748	   
df.mm.trans1:probe9	-0.00935900343990977	0.123084788243886	-0.0760370438413998	0.93941235919469	   
df.mm.trans1:probe10	0.00587247605734385	0.123084788243886	0.0477108190307632	0.961960950685189	   
df.mm.trans1:probe11	-0.21638188853492	0.123084788243886	-1.75799050087466	0.079206393498977	.  
df.mm.trans1:probe12	-0.00975377529878955	0.123084788243886	-0.0792443602329068	0.936861958275055	   
df.mm.trans1:probe13	-0.0265495495087785	0.123084788243886	-0.215701305478724	0.829286329630658	   
df.mm.trans1:probe14	0.00389252361289039	0.123084788243886	0.031624733392542	0.974780751131106	   
df.mm.trans1:probe15	0.0818701188713068	0.123084788243886	0.665152209622244	0.506182377567534	   
df.mm.trans1:probe16	-0.0833345685164099	0.123084788243886	-0.67705010266002	0.498608206289801	   
df.mm.trans1:probe17	-0.160289253068203	0.123084788243886	-1.30226696048417	0.193273296024959	   
df.mm.trans1:probe18	-0.117281711993217	0.123084788243886	-0.952853018366734	0.341008683660841	   
df.mm.trans1:probe19	-0.0908773117007325	0.123084788243886	-0.73833097491027	0.460572269906011	   
df.mm.trans1:probe20	-0.0197516613918674	0.123084788243886	-0.160471993929344	0.872557723162218	   
df.mm.trans2:probe2	0.148731180902208	0.123084788243886	1.20836362497943	0.227334369279921	   
df.mm.trans2:probe3	0.293594943287949	0.123084788243886	2.38530648244043	0.0173422867940102	*  
df.mm.trans2:probe4	0.0381068397113344	0.123084788243886	0.309598287936506	0.756962864093844	   
df.mm.trans2:probe5	0.0465373868670921	0.123084788243886	0.378092106515069	0.705482107221373	   
df.mm.trans2:probe6	0.252249621026124	0.123084788243886	2.04939720517132	0.0408127370526914	*  
df.mm.trans3:probe2	0.0445764249663556	0.123084788243886	0.362160309184834	0.717346606627614	   
df.mm.trans3:probe3	0.122545170726805	0.123084788243886	0.99561588783813	0.319796779044200	   
df.mm.trans3:probe4	0.0971373902705583	0.123084788243886	0.789190863115316	0.430280055255663