chr17.10779_chr17_63401088_63417914_-_2.R 

fitVsDatCorrelation=0.87535731799991
cont.fitVsDatCorrelation=0.263270801392457

fstatistic=4711.0165754505,57,807
cont.fstatistic=1172.60598865828,57,807

residuals=-0.852780009863602,-0.130416941584279,-0.000836136973680635,0.140696919610797,0.831302367022292
cont.residuals=-0.971761070844027,-0.355213370812609,-0.0976414242561305,0.278444612615923,2.1425650844805

predictedValues:
Include	Exclude	Both
chr17.10779_chr17_63401088_63417914_-_2.R.tl.Lung	87.3756995369607	72.413914882027	95.5552598269787
chr17.10779_chr17_63401088_63417914_-_2.R.tl.cerebhem	84.1907103955257	95.363672836895	159.600894510847
chr17.10779_chr17_63401088_63417914_-_2.R.tl.cortex	133.708409753156	200.170190047636	334.894470875837
chr17.10779_chr17_63401088_63417914_-_2.R.tl.heart	85.5595226886943	93.9558445956014	115.809082776580
chr17.10779_chr17_63401088_63417914_-_2.R.tl.kidney	74.1096238433648	66.8636159157295	76.2027228163495
chr17.10779_chr17_63401088_63417914_-_2.R.tl.liver	69.2837943663148	63.4245561325471	63.9737961339514
chr17.10779_chr17_63401088_63417914_-_2.R.tl.stomach	74.4223465266055	80.0453307763208	83.0521985902876
chr17.10779_chr17_63401088_63417914_-_2.R.tl.testicle	69.4944280749629	63.555411086143	77.12483243395


diffExp=14.9617846549336,-11.1729624413693,-66.4617802944805,-8.39632190690709,7.24600792763535,5.8592382337677,-5.62298424971526,5.93901698881993
diffExpScore=2.14261516791587
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=0,0,-1,0,0,0,0,0
diffExp1.4Score=0.5
diffExp1.3=0,0,-1,0,0,0,0,0
diffExp1.3Score=0.5
diffExp1.2=1,0,-1,0,0,0,0,0
diffExp1.2Score=2

cont.predictedValues:
Include	Exclude	Both
Lung	104.631871459123	83.2863306937295	81.3510550102483
cerebhem	92.2008810933854	77.4227125708025	103.698540804282
cortex	101.861531875829	111.522952608633	96.5476523595382
heart	89.5308859721957	81.1190756843209	76.4130767101447
kidney	88.431914003971	93.8454173883915	78.1684811588599
liver	96.3728194311251	83.3161090210554	95.0477536534604
stomach	101.684869920905	85.6415971589573	78.606694709833
testicle	97.6154353999643	87.2713651524572	117.925841330881
cont.diffExp=21.3455407653936,14.7781685225829,-9.66142073280398,8.4118102878748,-5.41350338442048,13.0567104100698,16.0432727619481,10.3440702475071
cont.diffExpScore=1.41699441599741

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=1,0,0,0,0,0,0,0
cont.diffExp1.2Score=0.5

tran.correlation=0.971667626167424
cont.tran.correlation=0.269738004723685

tran.covariance=0.077591966842301
cont.tran.covariance=0.00188066902412675

tran.mean=88.3710669661553
cont.tran.mean=92.234735589678

weightedLogRatios:
wLogRatio
Lung	0.821952586219421
cerebhem	-0.560184765461488
cortex	-2.05684032220989
heart	-0.420884118685977
kidney	0.437706234603734
liver	0.370584267222853
stomach	-0.316561697744285
testicle	0.374899053774943

cont.weightedLogRatios:
wLogRatio
Lung	1.03503442053568
cerebhem	0.775031814641457
cortex	-0.423079362454807
heart	0.438592969889781
kidney	-0.268081527718824
liver	0.654455438055823
stomach	0.778869059750396
testicle	0.506863100635041

varWeightedLogRatios=0.81989180288756
cont.varWeightedLogRatios=0.268261643279476

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.95931495751384	0.122601079595645	32.2942911316294	1.58323231020051e-147	***
df.mm.trans1	0.198582767611826	0.10646289811147	1.86527674085956	0.062505325822764	.  
df.mm.trans2	0.321274142335921	0.094630222640303	3.395047938935	0.000719676422237539	***
df.mm.exp2	-0.274804949346648	0.122990359007541	-2.23436171391125	0.0257323789047569	*  
df.mm.exp3	0.188102902326350	0.122990359007541	1.52941176726558	0.126554259009470	   
df.mm.exp4	0.0471832769722969	0.122990359007541	0.383633947839798	0.701350820943827	   
df.mm.exp5	-0.0181077978493226	0.122990359007541	-0.147229408836935	0.882987722486652	   
df.mm.exp6	0.0366776093441456	0.122990359007541	0.298215320616284	0.765615592669316	   
df.mm.exp7	0.0799690883590454	0.122990359007541	0.650206154403879	0.515744117415845	   
df.mm.exp8	-0.145177555895937	0.122990359007541	-1.18039785449391	0.238189819006796	   
df.mm.trans1:exp2	0.237672329996855	0.114398789352727	2.07757731827072	0.0380639957692196	*  
df.mm.trans2:exp2	0.550104191981749	0.0874545325462225	6.29017360181992	5.19365984688823e-10	***
df.mm.trans1:exp3	0.237341273309209	0.114398789352727	2.07468343548124	0.0383323123028406	*  
df.mm.trans2:exp3	0.82866657717917	0.0874545325462225	9.47539885072501	2.86747435634085e-20	***
df.mm.trans1:exp4	-0.0681881781145635	0.114398789352727	-0.596056815814006	0.551304413224412	   
df.mm.trans2:exp4	0.213243181163612	0.0874545325462225	2.43833195324561	0.0149699440891515	*  
df.mm.trans1:exp5	-0.146564008520573	0.114398789352727	-1.28116747869307	0.200502872799904	   
df.mm.trans2:exp5	-0.0616357161504711	0.0874545325462225	-0.704774405121824	0.481153983546777	   
df.mm.trans1:exp6	-0.268683784690207	0.114398789352727	-2.34865933643557	0.0190815081519422	*  
df.mm.trans2:exp6	-0.16922497761544	0.0874545325462225	-1.93500522715617	0.0533387785852272	.  
df.mm.trans1:exp7	-0.240430041744996	0.114398789352727	-2.10168344530007	0.0358904590443414	*  
df.mm.trans2:exp7	0.0202255451142106	0.0874545325462225	0.231269261013096	0.817164248648916	   
df.mm.trans1:exp8	-0.0837930729978955	0.114398789352727	-0.73246468316667	0.464097668357693	   
df.mm.trans2:exp8	0.0146912213889934	0.0874545325462225	0.167986963754321	0.866635624031875	   
df.mm.trans1:probe2	0.551189619397093	0.0748915873743111	7.35983357706421	4.54012137462769e-13	***
df.mm.trans1:probe3	0.437718425718368	0.0748915873743111	5.84469419149355	7.36265575204713e-09	***
df.mm.trans1:probe4	0.0928258812089856	0.0748915873743111	1.23947007218632	0.215531791837554	   
df.mm.trans1:probe5	0.344044120394031	0.0748915873743111	4.59389542211844	5.04592914811266e-06	***
df.mm.trans1:probe6	0.465968663729018	0.0748915873743111	6.22190929670229	7.88261246664194e-10	***
df.mm.trans1:probe7	1.06978077894426	0.0748915873743111	14.2843918315879	1.96143384684948e-41	***
df.mm.trans1:probe8	-0.166114562438005	0.0748915873743111	-2.21806705214777	0.0268279562089339	*  
df.mm.trans1:probe9	0.603843331092957	0.0748915873743111	8.0628993490941	2.68350532331337e-15	***
df.mm.trans1:probe10	0.549669998069099	0.0748915873743111	7.33954262875784	5.23425041636767e-13	***
df.mm.trans1:probe11	0.622102827630795	0.0748915873743111	8.30671173414312	4.13902113014158e-16	***
df.mm.trans1:probe12	0.818080230134305	0.0748915873743111	10.9235263774756	5.30361451601939e-26	***
df.mm.trans1:probe13	0.772751579769846	0.0748915873743111	10.3182694727460	1.56708208130212e-23	***
df.mm.trans1:probe14	0.78627233346631	0.0748915873743111	10.4988071562229	2.94498361821342e-24	***
df.mm.trans1:probe15	0.752982720092384	0.0748915873743111	10.0543031132315	1.73600021656846e-22	***
df.mm.trans1:probe16	0.836409098087859	0.0748915873743111	11.1682650536896	4.97185754423198e-27	***
df.mm.trans1:probe17	0.115190862469697	0.0748915873743111	1.53810149455063	0.124415778399575	   
df.mm.trans1:probe18	0.196723682350106	0.0748915873743111	2.6267794454252	0.00878320551913002	** 
df.mm.trans1:probe19	0.0688922539516771	0.0748915873743111	0.91989309302994	0.35790351045281	   
df.mm.trans1:probe20	0.107427312962895	0.0748915873743111	1.43443765487262	0.151834793403388	   
df.mm.trans1:probe21	0.183691084193889	0.0748915873743111	2.45275992449985	0.0143871390864579	*  
df.mm.trans1:probe22	0.160134205026398	0.0748915873743111	2.1382135249189	0.0327991514545983	*  
df.mm.trans2:probe2	0.228446641620157	0.0748915873743111	3.05036452864021	0.00236040543797864	** 
df.mm.trans2:probe3	0.00659648922743919	0.0748915873743111	0.0880805102243283	0.92983453870784	   
df.mm.trans2:probe4	-0.0793141412095487	0.0748915873743111	-1.05905274531215	0.289892639910711	   
df.mm.trans2:probe5	-0.0512178536878542	0.0748915873743111	-0.683893284727233	0.494238878524278	   
df.mm.trans2:probe6	-0.0791798778574736	0.0748915873743111	-1.05725997583319	0.290709332782112	   
df.mm.trans3:probe2	-0.586078436474952	0.0748915873743111	-7.82569120274763	1.58264564474656e-14	***
df.mm.trans3:probe3	-0.0380101056223477	0.0748915873743111	-0.507535051064837	0.611918122503307	   
df.mm.trans3:probe4	0.201621153944131	0.0748915873743111	2.69217359403026	0.00724589368568171	** 
df.mm.trans3:probe5	-0.121005338793876	0.0748915873743111	-1.61574007223384	0.106541369969591	   
df.mm.trans3:probe6	0.812753077646876	0.0748915873743111	10.852394856911	1.04777890843711e-25	***
df.mm.trans3:probe7	0.325843997522983	0.0748915873743111	4.35087583194627	1.52987325526661e-05	***
df.mm.trans3:probe8	0.0491384486653155	0.0748915873743111	0.656127749298724	0.511928958136452	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.62290071901159	0.244636389429093	18.8970280741963	3.16595992965851e-66	***
df.mm.trans1	0.0164553155512036	0.212434499663840	0.0774606552948925	0.938276290338282	   
df.mm.trans2	-0.254306293069145	0.188823753216096	-1.3467918560972	0.178425371180866	   
df.mm.exp2	-0.442197015071141	0.245413151837053	-1.80184725945228	0.071942535304881	.  
df.mm.exp3	0.0938492500722342	0.245413151837053	0.382413287021175	0.70225552572643	   
df.mm.exp4	-0.119610876602924	0.245413151837053	-0.487385764404109	0.626117345633628	   
df.mm.exp5	-0.00894349641156971	0.245413151837053	-0.0364426125683269	0.970938449133599	   
df.mm.exp6	-0.23747215322079	0.245413151837053	-0.967642326595701	0.333512930365267	   
df.mm.exp7	0.0336339235988778	0.245413151837053	0.137050208381700	0.891025292791792	   
df.mm.exp8	-0.39395676889802	0.245413151837053	-1.60527977392017	0.108823472520108	   
df.mm.trans1:exp2	0.315718498233765	0.228269660223322	1.38309444156919	0.167018441355279	   
df.mm.trans2:exp2	0.369192758294562	0.174505486834856	2.11565128977262	0.0346802408943145	*  
df.mm.trans1:exp3	-0.120683093378225	0.228269660223322	-0.528686524788959	0.59716829421759	   
df.mm.trans2:exp3	0.198096734242155	0.174505486834856	1.13518914410769	0.256633118781513	   
df.mm.trans1:exp4	-0.0362536666679821	0.228269660223323	-0.158819470938512	0.873850843828598	   
df.mm.trans2:exp4	0.0932445835636403	0.174505486834856	0.534336113178393	0.59325617913576	   
df.mm.trans1:exp5	-0.159271784633388	0.228269660223322	-0.697735233309445	0.485543765110249	   
df.mm.trans2:exp5	0.128307990752610	0.174505486834856	0.735266226179091	0.462390995051005	   
df.mm.trans1:exp6	0.155248155289879	0.228269660223323	0.680108583584852	0.496630763442093	   
df.mm.trans2:exp6	0.237829630910720	0.174505486834856	1.36287766777094	0.173301229140546	   
df.mm.trans1:exp7	-0.0622036069661326	0.228269660223323	-0.272500545649724	0.78530688032675	   
df.mm.trans2:exp7	-0.00574724876025804	0.174505486834856	-0.0329344874164156	0.973734974490204	   
df.mm.trans1:exp8	0.324544195720884	0.228269660223322	1.42175791300243	0.155482884852423	   
df.mm.trans2:exp8	0.440694734418448	0.174505486834856	2.52539185106255	0.0117473752802186	*  
df.mm.trans1:probe2	-0.0882837599712046	0.149437570976461	-0.590773520971583	0.55483759042376	   
df.mm.trans1:probe3	0.182565480538421	0.149437570976461	1.22168394029356	0.222183921019993	   
df.mm.trans1:probe4	-0.0617511924539016	0.149437570976461	-0.413224010872263	0.679552272403104	   
df.mm.trans1:probe5	-0.0221080828823765	0.149437570976461	-0.147941931456173	0.882425551313556	   
df.mm.trans1:probe6	0.0287348418212999	0.149437570976461	0.192286595891111	0.847566092913936	   
df.mm.trans1:probe7	0.0984769862250702	0.149437570976461	0.658984120135238	0.510093946695812	   
df.mm.trans1:probe8	0.0427387275755825	0.149437570976461	0.285997204694358	0.774953659783241	   
df.mm.trans1:probe9	-0.113706055871823	0.149437570976461	-0.760893362551601	0.446943029329124	   
df.mm.trans1:probe10	0.176962125969616	0.149437570976461	1.18418764982128	0.236687451315607	   
df.mm.trans1:probe11	-0.00882439281506571	0.149437570976461	-0.0590506976084061	0.952926346709288	   
df.mm.trans1:probe12	0.0211622959948703	0.149437570976461	0.141612954871996	0.887421077073395	   
df.mm.trans1:probe13	0.112878383194448	0.149437570976461	0.755354777629703	0.450256537877356	   
df.mm.trans1:probe14	-0.0663749846525148	0.149437570976461	-0.444165307417705	0.657042149950389	   
df.mm.trans1:probe15	-0.0622146736405939	0.149437570976461	-0.416325514621713	0.677282523667081	   
df.mm.trans1:probe16	-0.0045885769160573	0.149437570976461	-0.0307056444110704	0.975511881796466	   
df.mm.trans1:probe17	-0.0826428900856769	0.149437570976461	-0.553026187093838	0.58039863740782	   
df.mm.trans1:probe18	-0.0153161883624630	0.149437570976461	-0.102492219743558	0.918391449741833	   
df.mm.trans1:probe19	-0.0226993735947347	0.149437570976461	-0.151898705569233	0.879304794705145	   
df.mm.trans1:probe20	-0.097964968470318	0.149437570976461	-0.655557821438018	0.512295508023474	   
df.mm.trans1:probe21	0.089532173684968	0.149437570976461	0.599127602917683	0.549255944440536	   
df.mm.trans1:probe22	0.226189198278204	0.149437570976461	1.51360328463739	0.130518012483183	   
df.mm.trans2:probe2	0.239130839295965	0.149437570976461	1.60020560916125	0.109944360523956	   
df.mm.trans2:probe3	0.164734959593630	0.149437570976461	1.10236641640527	0.270631049796783	   
df.mm.trans2:probe4	-0.0281799828775916	0.149437570976461	-0.188573614342476	0.850474424669626	   
df.mm.trans2:probe5	0.195339855518133	0.149437570976461	1.30716696103755	0.191528335881324	   
df.mm.trans2:probe6	0.180634502780202	0.149437570976461	1.20876230522146	0.227108221638752	   
df.mm.trans3:probe2	0.034554146035627	0.149437570976461	0.231227969043139	0.817196314662382	   
df.mm.trans3:probe3	0.175776495612436	0.149437570976461	1.1762536988782	0.239840370363212	   
df.mm.trans3:probe4	-0.111537262505893	0.149437570976461	-0.746380323081284	0.455655073566138	   
df.mm.trans3:probe5	-0.0732466691442605	0.149437570976461	-0.490148954280033	0.624161725592996	   
df.mm.trans3:probe6	0.0302480344848857	0.149437570976461	0.202412514384688	0.839645262990845	   
df.mm.trans3:probe7	0.105403274953942	0.149437570976461	0.705333165315872	0.48080645825521	   
df.mm.trans3:probe8	-0.0514055324987991	0.149437570976461	-0.343993362331193	0.730940888195646