chr2.13608_chr2_35506336_35508737_-_1.R fitVsDatCorrelation=0.974727837747797 cont.fitVsDatCorrelation=0.275573629591126 fstatistic=5621.73585305411,36,324 cont.fstatistic=295.099020040863,36,324 residuals=-0.641155181223739,-0.0992152625531575,-0.00163901769936125,0.100607189345768,0.728700875154264 cont.residuals=-1.36722722488818,-0.64898182836635,-0.291988369023573,0.636402668897795,2.70474271250371 predictedValues: Include Exclude Both chr2.13608_chr2_35506336_35508737_-_1.R.tl.Lung 176.751989895956 50.4493199639634 46.7581246362091 chr2.13608_chr2_35506336_35508737_-_1.R.tl.cerebhem 175.169751108362 54.6989341914076 46.5763380018019 chr2.13608_chr2_35506336_35508737_-_1.R.tl.cortex 204.305096111533 50.0877286303132 49.2191186208916 chr2.13608_chr2_35506336_35508737_-_1.R.tl.heart 222.201637147156 48.0168019971895 48.6043723165258 chr2.13608_chr2_35506336_35508737_-_1.R.tl.kidney 155.141216222712 49.5993950666642 48.1041845339704 chr2.13608_chr2_35506336_35508737_-_1.R.tl.liver 197.696644349303 149.441203705216 134.099157595149 chr2.13608_chr2_35506336_35508737_-_1.R.tl.stomach 679.140014262884 50.6723319310056 52.6271302994653 chr2.13608_chr2_35506336_35508737_-_1.R.tl.testicle 211.513896379034 49.4249168546674 47.5445878604648 diffExp=126.302669931993,120.470816916954,154.217367481220,174.184835149966,105.541821156048,48.2554406440867,628.467682331878,162.088979524366 diffExpScore=0.999342334413378 diffExp1.5=1,1,1,1,1,0,1,1 diffExp1.5Score=0.875 diffExp1.4=1,1,1,1,1,0,1,1 diffExp1.4Score=0.875 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 146.053704101530 118.223732255848 91.4807786589336 cerebhem 101.590547682545 97.3494280386263 108.466380319923 cortex 88.6828149523348 106.628066894773 87.467604063969 heart 98.7315837698237 118.279414601008 87.777009018663 kidney 99.7424805274807 76.4818787933185 118.925360366275 liver 87.2409806579289 64.0142877992401 92.0997475294655 stomach 79.6080878275402 99.5147595004994 118.365407213875 testicle 86.4185609190976 80.9987517323779 158.062848474714 cont.diffExp=27.8299718456821,4.24111964391892,-17.9452519424379,-19.5478308311847,23.2606017341622,23.2266928586888,-19.9066716729592,5.4198091867197 cont.diffExpScore=5.12639386052412 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=0,0,0,0,1,1,0,0 cont.diffExp1.3Score=0.666666666666667 cont.diffExp1.2=1,0,-1,0,1,1,-1,0 cont.diffExp1.2Score=2.5 tran.correlation=-0.128243187237266 cont.tran.correlation=0.492710773396952 tran.covariance=-0.0198612279224488 cont.tran.covariance=0.0184399318842812 tran.mean=157.769429863585 cont.tran.mean=96.8474425033733 weightedLogRatios: wLogRatio Lung 5.7020061726391 cerebhem 5.3351363960259 cortex 6.49032747794515 heart 7.10491321142363 kidney 5.1021371024834 liver 1.44023793449477 stomach 13.5562901915510 testicle 6.72744106947893 cont.weightedLogRatios: wLogRatio Lung 1.03124584913514 cerebhem 0.196144908047394 cortex -0.843490541500318 heart -0.845910587246607 kidney 1.18690705859767 liver 1.33544184386843 stomach -1.00183661071356 testicle 0.286719406241723 varWeightedLogRatios=11.3887477525053 cont.varWeightedLogRatios=0.940116740853982 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 5.05896719882739 0.112281008264274 45.0563036174398 1.41844570520200e-141 *** df.mm.trans1 -0.0884028117015054 0.0951008410966993 -0.929569188684848 0.353286225816176 df.mm.trans2 -1.18682981535906 0.0951008410966993 -12.4796984093156 1.87418908942502e-29 *** df.mm.exp2 0.0757782901306479 0.132439451980230 0.572173087381545 0.56760149429719 df.mm.exp3 0.0863795478437933 0.132439451980230 0.652219157903854 0.514722235000922 df.mm.exp4 0.140693943500129 0.132439451980230 1.06232653032369 0.288878640573086 df.mm.exp5 -0.175783558529360 0.132439451980230 -1.32727488600300 0.185352269381922 df.mm.exp6 0.144328476829965 0.132439451980230 1.08976951106314 0.276624531580552 df.mm.exp7 1.23224678067319 0.132439451980230 9.30422742052075 2.08587674606314e-18 *** df.mm.exp8 0.142348623883632 0.132439451980230 1.07482039343444 0.283254907900029 df.mm.trans1:exp2 -0.0847703429905996 0.114695929878168 -0.739087630054911 0.460388880137628 df.mm.trans2:exp2 0.0050966671869908 0.114695929878168 0.0444363386948827 0.96458396981111 df.mm.trans1:exp3 0.0584873349600091 0.114695929878168 0.509933831323703 0.610444999901551 df.mm.trans2:exp3 -0.0935727745764598 0.114695929878168 -0.81583343607619 0.415194765140852 df.mm.trans1:exp4 0.088143738612422 0.114695929878168 0.768499271997269 0.442750404251924 df.mm.trans2:exp4 -0.190112219537086 0.114695929878168 -1.65753239665109 0.0983797699861646 . df.mm.trans1:exp5 0.0453717701138145 0.114695929878168 0.395583087926564 0.692672955836983 df.mm.trans2:exp5 0.158792928646565 0.114695929878168 1.38446873237121 0.167167708037705 df.mm.trans1:exp6 -0.032342283210412 0.114695929878168 -0.281982832736667 0.778136702342084 df.mm.trans2:exp6 0.941605285088025 0.114695929878168 8.20957889341158 5.32549200756108e-15 *** df.mm.trans1:exp7 0.113832969235753 0.114695929878168 0.99247610056144 0.321705946237809 df.mm.trans2:exp7 -1.22783600762075 0.114695929878168 -10.7051401817394 4.23892423347613e-23 *** df.mm.trans1:exp8 0.0371945133992468 0.114695929878168 0.324287997305183 0.745929259903242 df.mm.trans2:exp8 -0.162863204383616 0.114695929878168 -1.41995626659648 0.156581888452378 df.mm.trans1:probe2 0.120418317306628 0.0573479649390841 2.09978361803315 0.0365209033787866 * df.mm.trans1:probe3 0.548614047348145 0.0573479649390841 9.5664082924458 2.93311745666871e-19 *** df.mm.trans1:probe4 0.276119852433688 0.0573479649390841 4.8148151852814 2.26467799911239e-06 *** df.mm.trans1:probe5 0.512944307246064 0.0573479649390841 8.9444203955785 2.92942351257941e-17 *** df.mm.trans1:probe6 0.379552058215989 0.0573479649390841 6.61840500563804 1.50521550879631e-10 *** df.mm.trans2:probe2 0.0857453587315785 0.0573479649390841 1.49517700972752 0.13584158407068 df.mm.trans2:probe3 0.109984574122395 0.0573479649390841 1.91784615616653 0.0560093727958378 . df.mm.trans2:probe4 0.073704503410001 0.0573479649390841 1.28521567397014 0.199634867682068 df.mm.trans2:probe5 0.0528819343290734 0.0573479649390841 0.922123991413565 0.357150039959287 df.mm.trans2:probe6 0.117170583916234 0.0573479649390841 2.04315155804909 0.0418461599491789 * df.mm.trans3:probe2 0.131749981014191 0.0573479649390841 2.29737848856778 0.0222342791958159 * df.mm.trans3:probe3 0.0520103926202087 0.0573479649390841 0.906926560959137 0.365119633076699 cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.98910855180059 0.483149317884808 10.3262249725251 8.48657709624314e-22 *** df.mm.trans1 -0.130131051635793 0.409222425202978 -0.317995895682518 0.750692907605944 df.mm.trans2 -0.401712902309599 0.409222425202978 -0.981649287940037 0.327005093799275 df.mm.exp2 -0.727607288271573 0.569891844350722 -1.27674627297138 0.202606131478887 df.mm.exp3 -0.557279964510159 0.569891844350723 -0.9778696958632 0.328868338075700 df.mm.exp4 -0.349769346241657 0.569891844350723 -0.613746888482232 0.539813254680479 df.mm.exp5 -1.07927494330963 0.569891844350722 -1.89382415980921 0.059138943900245 . df.mm.exp6 -1.13551608929130 0.569891844350722 -1.99251156258429 0.0471536644214488 * df.mm.exp7 -1.03677922234100 0.569891844350722 -1.81925611432850 0.0697952412159735 . df.mm.exp8 -1.44978088185573 0.569891844350723 -2.54395793908485 0.0114244455259732 * df.mm.trans1:exp2 0.364583394082352 0.493540814617293 0.738709714139977 0.460618060899913 df.mm.trans2:exp2 0.533335279438466 0.493540814617293 1.08063054491660 0.280665194865752 df.mm.trans1:exp3 0.0583717011788506 0.493540814617293 0.118271274533017 0.905926006409014 df.mm.trans2:exp3 0.454047867957914 0.493540814617293 0.919980383608186 0.358267441164046 df.mm.trans1:exp4 -0.041800151224317 0.493540814617293 -0.0846944163204216 0.932556643052138 df.mm.trans2:exp4 0.350240226624681 0.493540814617293 0.709647948561799 0.478432862734291 df.mm.trans1:exp5 0.697892222670002 0.493540814617293 1.41405168934442 0.158306885328849 df.mm.trans2:exp5 0.643749912238642 0.493540814617293 1.30434990009454 0.193040106401961 df.mm.trans1:exp6 0.620215881097336 0.493540814617293 1.25666583741057 0.209779900203152 df.mm.trans2:exp6 0.522043529273608 0.493540814617293 1.05775148440037 0.29095673949731 df.mm.trans1:exp7 0.429920525518431 0.493540814617293 0.871094168476836 0.384347713071897 df.mm.trans2:exp7 0.864506326868562 0.493540814617293 1.75164100164427 0.080781700070029 . df.mm.trans1:exp8 0.925008969661576 0.493540814617293 1.87422993654305 0.0617984398913184 . df.mm.trans2:exp8 1.07163576037342 0.493540814617293 2.17132145637113 0.0306322459513486 * df.mm.trans1:probe2 0.131405058263162 0.246770407308646 0.532499255872315 0.594745247187892 df.mm.trans1:probe3 0.386481138145858 0.246770407308646 1.56615674610639 0.118288051155675 df.mm.trans1:probe4 0.257989067094083 0.246770407308647 1.0454619332512 0.296588863438683 df.mm.trans1:probe5 0.155162792051316 0.246770407308646 0.628773902606753 0.529940112572512 df.mm.trans1:probe6 0.193933956427371 0.246770407308647 0.785888221130215 0.432507329561015 df.mm.trans2:probe2 0.421105874137012 0.246770407308646 1.70646828657343 0.0888791189214616 . df.mm.trans2:probe3 0.227054250030424 0.246770407308646 0.920103234851973 0.358203342717734 df.mm.trans2:probe4 0.228298825558913 0.246770407308646 0.925146690191949 0.355578145226526 df.mm.trans2:probe5 0.264837720454705 0.246770407308646 1.07321507203034 0.283973293586849 df.mm.trans2:probe6 0.525352272321597 0.246770407308646 2.12891115288600 0.0340155301936189 * df.mm.trans3:probe2 0.0251645741643332 0.246770407308646 0.101975655990464 0.918839078803497 df.mm.trans3:probe3 0.151428275007745 0.246770407308647 0.61364033337412 0.539883593082835