chr17.9922_chr17_33947716_33948261_+_1.R fitVsDatCorrelation=0.962562680849196 cont.fitVsDatCorrelation=0.335601156104355 fstatistic=6587.06114784904,37,347 cont.fstatistic=536.797114148745,37,347 residuals=-0.631976002773754,-0.0928182024128421,0.00143138671679835,0.099933372215929,0.839175190799285 cont.residuals=-1.40973419983856,-0.45729576614536,-0.127311224822099,0.402682426676637,1.77759660066780 predictedValues: Include Exclude Both chr17.9922_chr17_33947716_33948261_+_1.R.tl.Lung 80.8581587114902 353.624234824398 81.5623306949282 chr17.9922_chr17_33947716_33948261_+_1.R.tl.cerebhem 61.3422033351421 135.552352262341 81.8173040864153 chr17.9922_chr17_33947716_33948261_+_1.R.tl.cortex 72.6298945243431 169.206571916987 73.7537544439294 chr17.9922_chr17_33947716_33948261_+_1.R.tl.heart 73.2494377089106 187.025813524648 71.507830243107 chr17.9922_chr17_33947716_33948261_+_1.R.tl.kidney 84.4188355734573 376.386049846785 87.5448504239251 chr17.9922_chr17_33947716_33948261_+_1.R.tl.liver 83.1489354624799 246.946111350488 82.1257323421007 chr17.9922_chr17_33947716_33948261_+_1.R.tl.stomach 70.3034446394963 190.240278025569 86.6006464114446 chr17.9922_chr17_33947716_33948261_+_1.R.tl.testicle 80.0353715827888 222.182899453692 91.0971466321811 diffExp=-272.766076112908,-74.2101489271987,-96.5766773926435,-113.776375815737,-291.967214273327,-163.797175888008,-119.936833386073,-142.147527870903 diffExpScore=0.999216410268197 diffExp1.5=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.5Score=0.888888888888889 diffExp1.4=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.4Score=0.888888888888889 diffExp1.3=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.3Score=0.888888888888889 diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 118.110315507385 105.212442215001 88.0453740940447 cerebhem 123.736868488586 114.41338323876 122.028616281452 cortex 155.896143085490 126.975752150982 151.543942015549 heart 113.828968061924 116.003797493142 138.606687950035 kidney 122.208660644078 96.3782840741543 135.737517906173 liver 132.446214018028 148.395773662418 102.745123065230 stomach 148.529127108957 151.652079295504 114.005097907744 testicle 170.296092666826 124.781641626692 114.536120641156 cont.diffExp=12.8978732923837,9.3234852498263,28.9203909345089,-2.17482943121766,25.8303765699239,-15.9495596443901,-3.12295218654685,45.5144510401337 cont.diffExpScore=1.40585869201417 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=0,0,0,0,0,0,0,1 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,1,0,1,0,0,1 cont.diffExp1.2Score=0.75 tran.correlation=0.813124546787238 cont.tran.correlation=0.490875192923374 tran.covariance=0.0329109976775070 cont.tran.covariance=0.0121947695050006 tran.mean=155.446912046438 cont.tran.mean=129.304096458620 weightedLogRatios: wLogRatio Lung -7.57019898195904 cerebhem -3.57824291987298 cortex -3.98197136901682 heart -4.46430850127507 kidney -7.7479802966125 liver -5.40447797498766 stomach -4.72902054653069 testicle -4.99589519106055 cont.weightedLogRatios: wLogRatio Lung 0.545092082080623 cerebhem 0.374382186277491 cortex 1.01501070671948 heart -0.089787430520707 kidney 1.11292479322711 liver -0.562053226654055 stomach -0.104272056386982 testicle 1.54928515316019 varWeightedLogRatios=2.42502876279175 cont.varWeightedLogRatios=0.513928503906203 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.54508044254606 0.10440092316163 53.1133276854397 1.03950921154137e-168 *** df.mm.trans1 -1.23164463719830 0.0869802961232183 -14.1600418956211 3.04824190671468e-36 *** df.mm.trans2 0.204834088401487 0.0869802961232183 2.3549481610331 0.0190816281215179 * df.mm.exp2 -1.23822659200521 0.119840575902962 -10.3322817224095 5.37273485831435e-22 *** df.mm.exp3 -0.743798843428301 0.119840575902962 -6.2065693345013 1.54453498725252e-09 *** df.mm.exp4 -0.604253575196825 0.119840575902962 -5.04214512191682 7.4313314267717e-07 *** df.mm.exp5 0.0346908169619187 0.119840575902962 0.289474718395952 0.772391004140539 df.mm.exp6 -0.338011687785855 0.119840575902962 -2.82051121032288 0.00507039379491504 ** df.mm.exp7 -0.819762425441513 0.119840575902962 -6.84044130516607 3.57811375524632e-11 *** df.mm.exp8 -0.58552072338195 0.119840575902962 -4.8858303539534 1.57596342904234e-06 *** df.mm.trans1:exp2 0.96199817744577 0.101283772613504 9.4980484298973 3.60115973025794e-19 *** df.mm.trans2:exp2 0.27934965545127 0.101283772613504 2.75808896374012 0.00612193581601175 ** df.mm.trans1:exp3 0.636478958174064 0.101283772613504 6.28411582379388 9.88822939378353e-10 *** df.mm.trans2:exp3 0.00668426514884619 0.101283772613504 0.0659954203557675 0.947419477218568 df.mm.trans1:exp4 0.505427654097057 0.101283772613504 4.99021354611022 9.55965186718341e-07 *** df.mm.trans2:exp4 -0.0327346430507332 0.101283772613504 -0.323197311929202 0.746740493335269 df.mm.trans1:exp5 0.0084032374042162 0.101283772613504 0.0829672630410667 0.933925409369042 df.mm.trans2:exp5 0.0276896622046561 0.101283772613504 0.273386955186977 0.784718422547336 df.mm.trans1:exp6 0.365948598088224 0.101283772613504 3.6131019673277 0.000347261250751692 *** df.mm.trans2:exp6 -0.0210530378735997 0.101283772613504 -0.207861904531711 0.835458736764247 df.mm.trans1:exp7 0.679886729558447 0.101283772613504 6.71269159920487 7.80890648855231e-11 *** df.mm.trans2:exp7 0.199815454015124 0.101283772613504 1.97282791565844 0.049308572039231 * df.mm.trans1:exp8 0.575292912484873 0.101283772613504 5.6800107029995 2.85221408782511e-08 *** df.mm.trans2:exp8 0.120786771657267 0.101283772613504 1.19255798377679 0.23385737721896 df.mm.trans1:probe2 0.287253637118589 0.0554754069696403 5.17803568842302 3.80717791239292e-07 *** df.mm.trans1:probe3 0.0165370271004067 0.0554754069696403 0.298096544103890 0.765807887871036 df.mm.trans1:probe4 0.152772679043070 0.0554754069696403 2.75388117705340 0.00619946070402935 ** df.mm.trans1:probe5 -0.135403878841312 0.0554754069696403 -2.44079108631711 0.0151545972758098 * df.mm.trans1:probe6 0.471447408487857 0.0554754069696403 8.4983136535774 5.76504004305108e-16 *** df.mm.trans2:probe2 -0.281346601153292 0.0554754069696403 -5.07155542468148 6.4376011439573e-07 *** df.mm.trans2:probe3 0.824049823263227 0.0554754069696403 14.8543267778855 5.60726608025554e-39 *** df.mm.trans2:probe4 -0.124368884219067 0.0554754069696403 -2.24187421080353 0.0256009211485114 * df.mm.trans2:probe5 0.427905863668459 0.0554754069696403 7.71343352023783 1.31059641659387e-13 *** df.mm.trans2:probe6 0.336963147107437 0.0554754069696403 6.07409959681493 3.27675050411788e-09 *** df.mm.trans3:probe2 -0.655119287448797 0.0554754069696403 -11.8091839832256 2.78418960637194e-27 *** df.mm.trans3:probe3 0.172804229706457 0.0554754069696403 3.11497002268097 0.00199285377652958 ** df.mm.trans3:probe4 0.0147055697208181 0.0554754069696403 0.265082683014221 0.791103165765082 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.05125066933306 0.362821510535568 13.9221367053922 2.59284945041138e-35 *** df.mm.trans1 -0.186423512285853 0.302280108935431 -0.616724378399884 0.537820947986083 df.mm.trans2 -0.345101849422706 0.302280108935431 -1.1416624489057 0.254381570713147 df.mm.exp2 -0.196028569798952 0.416478489421495 -0.470681139069736 0.638164181055228 df.mm.exp3 -0.0774377867663587 0.416478489421495 -0.185934661052778 0.852604643967278 df.mm.exp4 -0.393068703867729 0.416478489421495 -0.94379112931791 0.345933047642621 df.mm.exp5 -0.486460515171519 0.416478489421495 -1.16803274965589 0.243595450854733 df.mm.exp6 0.304059759936172 0.416478489421495 0.730073143413777 0.465838054275052 df.mm.exp7 0.336378526524154 0.416478489421495 0.807673229393906 0.419832025267262 df.mm.exp8 0.273465415047921 0.416478489421495 0.656613539459807 0.511864646789859 df.mm.trans1:exp2 0.242566787472410 0.351988567337482 0.689132574126593 0.491200373052635 df.mm.trans2:exp2 0.279865062939334 0.351988567337482 0.795097025611638 0.427100565563584 df.mm.trans1:exp3 0.355008757932947 0.351988567337482 1.00858036560196 0.313878697120425 df.mm.trans2:exp3 0.265452361735119 0.351988567337482 0.754150521828192 0.451270299181714 df.mm.trans1:exp4 0.356146680635097 0.351988567337482 1.01181320555116 0.312332372426750 df.mm.trans2:exp4 0.490710066132348 0.351988567337482 1.39410796732458 0.164177032291773 df.mm.trans1:exp5 0.520571367177404 0.351988567337482 1.47894396433134 0.140062481600112 df.mm.trans2:exp5 0.39875985715511 0.351988567337482 1.13287729817879 0.258047942928749 df.mm.trans1:exp6 -0.189502193783368 0.351988567337482 -0.538375991063585 0.590662668974632 df.mm.trans2:exp6 0.0398415257120626 0.351988567337482 0.113189828901071 0.90994551473284 df.mm.trans1:exp7 -0.107216510288289 0.351988567337482 -0.304602251997268 0.760851704883677 df.mm.trans2:exp7 0.0292288533480985 0.351988567337482 0.0830392122368972 0.933868241398623 df.mm.trans1:exp8 0.0924541636124282 0.351988567337482 0.262662404951876 0.792966670923937 df.mm.trans2:exp8 -0.102881637599172 0.351988567337482 -0.292286872773714 0.770241974969869 df.mm.trans1:probe2 -0.0763023192276063 0.192792078314665 -0.395775178599765 0.692514112521692 df.mm.trans1:probe3 -0.146062964494507 0.192792078314665 -0.757619118852546 0.449193205665263 df.mm.trans1:probe4 -0.114380617062412 0.192792078314665 -0.593284838579967 0.553377035942023 df.mm.trans1:probe5 -0.198656008020784 0.192792078314665 -1.03041582287706 0.303532517050859 df.mm.trans1:probe6 -0.396679012452901 0.192792078314665 -2.05754829721511 0.0403802526272249 * df.mm.trans2:probe2 -0.208368118138310 0.192792078314665 -1.08079190784085 0.280540264590629 df.mm.trans2:probe3 0.400084119089286 0.192792078314665 2.07521036438173 0.0387034289472535 * df.mm.trans2:probe4 -0.346724712302134 0.192792078314665 -1.79843858385212 0.0729765101405767 . df.mm.trans2:probe5 -0.0938666136090105 0.192792078314665 -0.486880033814494 0.626650741647451 df.mm.trans2:probe6 -0.252797220985973 0.192792078314665 -1.31124278132098 0.190642753009956 df.mm.trans3:probe2 -0.00142259277040732 0.192792078314665 -0.0073788963884991 0.994116786225567 df.mm.trans3:probe3 -0.0625069577512208 0.192792078314665 -0.324219533798481 0.745967179193396 df.mm.trans3:probe4 -0.103562494777698 0.192792078314665 -0.537171940273751 0.591493127688972