chr5.17684_chr5_32353667_32355494_-_2.R fitVsDatCorrelation=0.91154622662734 cont.fitVsDatCorrelation=0.243799102201615 fstatistic=8943.16497723733,69,1083 cont.fstatistic=1594.82582996362,69,1083 residuals=-0.789066811591408,-0.109438766288028,-0.00905247900946601,0.0928062318907798,0.957242702645658 cont.residuals=-0.793957793440082,-0.293763937170081,-0.08024589852924,0.207855417100602,1.89086919361397 predictedValues: Include Exclude Both chr5.17684_chr5_32353667_32355494_-_2.R.tl.Lung 67.126370974412 77.118765739927 66.006084953491 chr5.17684_chr5_32353667_32355494_-_2.R.tl.cerebhem 54.4688930395609 73.04828841053 67.9651375949987 chr5.17684_chr5_32353667_32355494_-_2.R.tl.cortex 57.9076719800321 66.2080383726195 65.5584064059424 chr5.17684_chr5_32353667_32355494_-_2.R.tl.heart 62.5031436714218 67.3862547928466 66.5252755217735 chr5.17684_chr5_32353667_32355494_-_2.R.tl.kidney 67.1474125340602 76.3354964922516 65.5169515384417 chr5.17684_chr5_32353667_32355494_-_2.R.tl.liver 58.3261085749643 70.9382822674392 62.151684758047 chr5.17684_chr5_32353667_32355494_-_2.R.tl.stomach 59.2410472094207 79.5812944049365 63.7589784752444 chr5.17684_chr5_32353667_32355494_-_2.R.tl.testicle 56.0513850987722 69.9663055397382 62.6501207299107 diffExp=-9.99239476551509,-18.5793953709691,-8.30036639258738,-4.88311112142488,-9.18808395819133,-12.612173692475,-20.3402471955157,-13.9149204409660 diffExpScore=0.989879637817832 diffExp1.5=0,0,0,0,0,0,0,0 diffExp1.5Score=0 diffExp1.4=0,0,0,0,0,0,0,0 diffExp1.4Score=0 diffExp1.3=0,-1,0,0,0,0,-1,0 diffExp1.3Score=0.666666666666667 diffExp1.2=0,-1,0,0,0,-1,-1,-1 diffExp1.2Score=0.8 cont.predictedValues: Include Exclude Both Lung 72.0669804064065 61.0220933602042 73.9344259288895 cerebhem 81.3970169824487 57.7794270387486 79.249881682001 cortex 75.1969537409885 69.7429236148614 70.6919790215554 heart 77.4454941500546 79.9621976798334 73.4085394079838 kidney 78.1887281106386 53.8769019775536 67.441462988839 liver 78.0588313472755 71.2011023036356 65.4832823392999 stomach 76.1604391888482 67.336119565019 75.9514799534077 testicle 73.7986516926372 72.361902486019 75.811738631431 cont.diffExp=11.0448870462023,23.6175899437001,5.45403012612711,-2.51670352977879,24.311826133085,6.85772904363996,8.82431962382927,1.43674920661823 cont.diffExpScore=1.05039841946176 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=0,1,0,0,1,0,0,0 cont.diffExp1.4Score=0.666666666666667 cont.diffExp1.3=0,1,0,0,1,0,0,0 cont.diffExp1.3Score=0.666666666666667 cont.diffExp1.2=0,1,0,0,1,0,0,0 cont.diffExp1.2Score=0.666666666666667 tran.correlation=0.401681915600726 cont.tran.correlation=-0.230293527627492 tran.covariance=0.00201585326096443 cont.tran.covariance=-0.00120848263908320 tran.mean=66.4596724439333 cont.tran.mean=71.5997352278233 weightedLogRatios: wLogRatio Lung -0.593373804971497 cerebhem -1.21633657913152 cortex -0.552662633973809 heart -0.313897753822956 kidney -0.547747593413706 liver -0.81513265231363 stomach -1.24830837170776 testicle -0.917390052897197 cont.weightedLogRatios: wLogRatio Lung 0.697782979758744 cerebhem 1.44895542205204 cortex 0.322447046812545 heart -0.139609024350594 kidney 1.55409171643048 liver 0.396460455917305 stomach 0.525987057710063 testicle 0.0843732774218228 varWeightedLogRatios=0.112480332128354 cont.varWeightedLogRatios=0.368055517381363 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.07638718032199 0.0835890519289314 48.7669986230707 1.67693632658785e-275 *** df.mm.trans1 -0.190823949205833 0.071289171514894 -2.67675924899709 0.0075461054571896 ** df.mm.trans2 0.25611831637941 0.0620962931068187 4.12453471157824 3.99918117356965e-05 *** df.mm.exp2 -0.292421103485189 0.0778518684751023 -3.75612184027039 0.000181755707633825 *** df.mm.exp3 -0.293466373795719 0.0778518684751022 -3.76954824006020 0.000172372022294970 *** df.mm.exp4 -0.214100730509274 0.0778518684751022 -2.75010394359059 0.00605685561784163 ** df.mm.exp5 -0.00245715740417933 0.0778518684751023 -0.0315619580147283 0.974827196795512 df.mm.exp6 -0.163894554307770 0.0778518684751023 -2.10521028612416 0.0355028467428954 * df.mm.exp7 -0.0588929645229045 0.0778518684751023 -0.756474644429876 0.449529191222821 df.mm.exp8 -0.225459659150500 0.0778518684751022 -2.89600832409827 0.0038553818431495 ** df.mm.trans1:exp2 0.0834738954666546 0.070780562131361 1.17933360449633 0.238524370803231 df.mm.trans2:exp2 0.238195165259954 0.0469803516782246 5.07010179258317 4.67394804095614e-07 *** df.mm.trans1:exp3 0.145739276749451 0.070780562131361 2.05902965956917 0.0397300928257049 * df.mm.trans2:exp3 0.140921609170906 0.0469803516782246 2.99958608518087 0.00276527378980112 ** df.mm.trans1:exp4 0.142740607909175 0.0707805621313609 2.01666394856069 0.0439770355808642 * df.mm.trans2:exp4 0.0791951470412095 0.0469803516782246 1.68570783768561 0.0921401431312496 . df.mm.trans1:exp5 0.00277057018321525 0.070780562131361 0.0391430938069321 0.968783517598475 df.mm.trans2:exp5 -0.00775143554933277 0.0469803516782246 -0.164993135905485 0.868980175470752 df.mm.trans1:exp6 0.0233674020718829 0.070780562131361 0.330138690174791 0.741359019077429 df.mm.trans2:exp6 0.0803581437167457 0.0469803516782246 1.71046279659911 0.0874667227252248 . df.mm.trans1:exp7 -0.0660693456498728 0.070780562131361 -0.933439120294854 0.350801348292703 df.mm.trans2:exp7 0.0903253890801942 0.0469803516782246 1.92262053930218 0.0547897582562619 . df.mm.trans1:exp8 0.0451515433855749 0.070780562131361 0.637908799053878 0.523667898555984 df.mm.trans2:exp8 0.128126790117161 0.0469803516782246 2.72724203928316 0.00648982007848317 ** df.mm.trans1:probe2 0.782614166411036 0.0537616962710555 14.5570958636658 5.6143150910665e-44 *** df.mm.trans1:probe3 0.255204410560152 0.0537616962710555 4.74695607209757 2.34168840311269e-06 *** df.mm.trans1:probe4 0.62000881989854 0.0537616962710555 11.5325382735802 4.18556221245183e-29 *** df.mm.trans1:probe5 0.783130471298912 0.0537616962710555 14.5666994462103 4.9919467019672e-44 *** df.mm.trans1:probe6 0.521827918862889 0.0537616962710555 9.7063142545194 2.05024508661571e-21 *** df.mm.trans1:probe7 0.592974804569822 0.0537616962710555 11.0296892713385 6.97028611131437e-27 *** df.mm.trans1:probe8 0.202843074467950 0.0537616962710555 3.77300361665036 0.000170031963738317 *** df.mm.trans1:probe9 0.696575506901408 0.0537616962710555 12.9567248657746 8.46729841625565e-36 *** df.mm.trans1:probe10 0.640374715795803 0.0537616962710555 11.9113562296689 7.91015505454809e-31 *** df.mm.trans1:probe11 1.39189954634367 0.0537616962710555 25.8901716814514 1.97560905788685e-115 *** df.mm.trans1:probe12 1.14848786398517 0.0537616962710555 21.3625674717317 9.00115848711406e-85 *** df.mm.trans1:probe13 0.583011037251336 0.0537616962710555 10.8443571853074 4.39038116017778e-26 *** df.mm.trans1:probe14 1.63542897867719 0.0537616962710555 30.4199661117777 2.05705505240865e-147 *** df.mm.trans1:probe15 1.38214823819375 0.0537616962710555 25.7087914641912 3.59975784939696e-114 *** df.mm.trans1:probe16 1.56791518550847 0.0537616962710555 29.1641688090227 1.78794712465762e-138 *** df.mm.trans1:probe17 0.0520869708240201 0.0537616962710555 0.96884909585829 0.332836800261752 df.mm.trans1:probe18 0.127482374261009 0.0537616962710555 2.37124910676681 0.0179022580815498 * df.mm.trans1:probe19 0.118741226674411 0.0537616962710555 2.20865848569475 0.0274072268878549 * df.mm.trans1:probe20 0.234621143784676 0.0537616962710555 4.3640948864739 1.39855679221802e-05 *** df.mm.trans1:probe21 0.0232049405234577 0.0537616962710555 0.431625899719814 0.666099240773142 df.mm.trans1:probe22 0.121995924778754 0.0537616962710555 2.26919783489857 0.0234523304789586 * df.mm.trans2:probe2 -0.0429473614115327 0.0537616962710555 -0.798846844322042 0.424554375074440 df.mm.trans2:probe3 -0.180946137864318 0.0537616962710555 -3.36570737932123 0.00079026669271859 *** df.mm.trans2:probe4 0.192599260792638 0.0537616962710555 3.58246249935254 0.00035549462708383 *** df.mm.trans2:probe5 -0.00496102263421674 0.0537616962710555 -0.0922780153588212 0.92649422107552 df.mm.trans2:probe6 0.370125136759558 0.0537616962710555 6.88455094298854 9.8010498572276e-12 *** df.mm.trans3:probe2 0.524822517979129 0.0537616962710555 9.76201560555458 1.23890564001696e-21 *** df.mm.trans3:probe3 0.0420276038090364 0.0537616962710555 0.781738797770476 0.434538961330811 df.mm.trans3:probe4 -0.136124032333681 0.0537616962710555 -2.53198916283019 0.0114821976230781 * df.mm.trans3:probe5 -0.0323885071178464 0.0537616962710555 -0.602445781371 0.547003558357967 df.mm.trans3:probe6 0.00466643783112032 0.0537616962710555 0.0867985602164243 0.930847677001942 df.mm.trans3:probe7 -0.0812959260482447 0.0537616962710555 -1.51215329290146 0.130786604322649 df.mm.trans3:probe8 0.476538785692238 0.0537616962710555 8.86390904203667 3.11550537696115e-18 *** df.mm.trans3:probe9 -0.176826228358023 0.0537616962710555 -3.28907457581885 0.00103752465224877 ** df.mm.trans3:probe10 -0.054317061898495 0.0537616962710555 -1.01033013587666 0.31256281739996 df.mm.trans3:probe11 -0.161194425285469 0.0537616962710555 -2.99831360366235 0.00277675011883393 ** df.mm.trans3:probe12 0.453570972059803 0.0537616962710555 8.43669384561437 1.03331232283191e-16 *** df.mm.trans3:probe13 0.043259455827494 0.0537616962710555 0.804651988832135 0.421197134376185 df.mm.trans3:probe14 -0.296986555322546 0.0537616962710555 -5.52412918344691 4.14558239976452e-08 *** df.mm.trans3:probe15 -0.00233876131839805 0.0537616962710555 -0.0435023721462674 0.965309092697023 df.mm.trans3:probe16 -0.0429103052377764 0.0537616962710555 -0.798157577123896 0.424954030778621 df.mm.trans3:probe17 -0.133244897673493 0.0537616962710555 -2.47843552036936 0.0133474766865594 * df.mm.trans3:probe18 0.330019753070884 0.0537616962710555 6.13856659966591 1.16671209749990e-09 *** df.mm.trans3:probe19 0.371696843805426 0.0537616962710555 6.91378564268893 8.0477162614186e-12 *** df.mm.trans3:probe20 -0.167667938559968 0.0537616962710555 -3.11872485783597 0.00186430514430450 ** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.10121790482002 0.197148069448791 20.8027292191432 3.950483220737e-81 *** df.mm.trans1 0.211224901740777 0.168138317308760 1.25625678382933 0.209293803464059 df.mm.trans2 -0.0110877881435162 0.146456551706604 -0.0757070135430221 0.939666178188058 df.mm.exp2 -0.00228790568976478 0.183616696429300 -0.0124602268435089 0.990060729515438 df.mm.exp3 0.220941177238978 0.183616696429300 1.20327389358108 0.22913331171189 df.mm.exp4 0.349434721502367 0.183616696429300 1.90306616063597 0.0572968704125365 . df.mm.exp5 0.0489139494646171 0.183616696429300 0.266391621327590 0.789988326329836 df.mm.exp6 0.355522821349064 0.183616696429300 1.93622273062709 0.0531003611832074 . df.mm.exp7 0.12679083937141 0.183616696429300 0.690519118560821 0.49001574945776 df.mm.exp8 0.169113879392839 0.183616696429300 0.921015804561951 0.357247287215338 df.mm.trans1:exp2 0.124030561626577 0.166938742056341 0.742970505820136 0.457660665056065 df.mm.trans2:exp2 -0.0523153004095272 0.110805008809790 -0.472138407563622 0.636923115033724 df.mm.trans1:exp3 -0.178426425860059 0.166938742056341 -1.06881376762646 0.285391761254392 df.mm.trans2:exp3 -0.087361200067203 0.110805008809790 -0.788422843024805 0.430621954834932 df.mm.trans1:exp4 -0.277456303857977 0.166938742056341 -1.66202464712677 0.096797222230603 . df.mm.trans2:exp4 -0.0791167123401445 0.110805008809790 -0.714017472585178 0.475370226997861 df.mm.trans1:exp5 0.0326155758966065 0.166938742056341 0.195374515794535 0.845136413439802 df.mm.trans2:exp5 -0.173448082968750 0.110805008809790 -1.56534514848958 0.117794133811420 df.mm.trans1:exp6 -0.275656000912508 0.166938742056341 -1.65124043416761 0.0989794017373952 . df.mm.trans2:exp6 -0.201250506090908 0.110805008809790 -1.81625820215744 0.0696071483911399 . df.mm.trans1:exp7 -0.0715446522375531 0.166938742056341 -0.428568296108324 0.668322645564208 df.mm.trans2:exp7 -0.028330036648498 0.110805008809790 -0.255674693344684 0.798250587921507 df.mm.trans1:exp8 -0.145369387693692 0.166938742056341 -0.870794795162827 0.384059185230389 df.mm.trans2:exp8 0.00133008791320569 0.110805008809790 0.012003860903878 0.990424745544526 df.mm.trans1:probe2 -0.0949885768128664 0.126799076978912 -0.749126721392965 0.453943506070291 df.mm.trans1:probe3 -0.171127799354842 0.126799076978912 -1.34959814717976 0.177426955704690 df.mm.trans1:probe4 -0.0739218632957909 0.126799076978912 -0.582984238190354 0.560025278281035 df.mm.trans1:probe5 0.0314925747992717 0.126799076978912 0.248365962510195 0.80389835266077 df.mm.trans1:probe6 -0.00754731534291936 0.126799076978912 -0.0595218476564666 0.952547445473102 df.mm.trans1:probe7 -0.088884013292859 0.126799076978912 -0.700983125513142 0.483464126858182 df.mm.trans1:probe8 -0.159710257747812 0.126799076978912 -1.25955378819022 0.208101750603947 df.mm.trans1:probe9 0.0074176996938828 0.126799076978912 0.058499634781383 0.953361445229474 df.mm.trans1:probe10 -0.104586664791454 0.126799076978912 -0.824821972551487 0.409654300438997 df.mm.trans1:probe11 0.00243958459732069 0.126799076978912 0.0192397662147527 0.984653378514626 df.mm.trans1:probe12 -0.0225200120661957 0.126799076978912 -0.177603911658923 0.859067263997419 df.mm.trans1:probe13 -0.156687336158836 0.126799076978912 -1.23571353902596 0.216833031624079 df.mm.trans1:probe14 -0.176600532773506 0.126799076978912 -1.39275881955258 0.163978577855134 df.mm.trans1:probe15 -0.0148804325208583 0.126799076978912 -0.117354423039949 0.906600959140692 df.mm.trans1:probe16 -0.195054564776029 0.126799076978912 -1.53829640895942 0.124268258395980 df.mm.trans1:probe17 0.100936837273522 0.126799076978912 0.796037634330008 0.426184609357961 df.mm.trans1:probe18 0.0592572364609425 0.126799076978912 0.467331765126317 0.640356544860521 df.mm.trans1:probe19 -0.0645817060793607 0.126799076978912 -0.509323156114941 0.610629486919096 df.mm.trans1:probe20 -0.131638802416881 0.126799076978912 -1.03816845952889 0.299423362254145 df.mm.trans1:probe21 -0.136647850823752 0.126799076978912 -1.07767228342268 0.281420011286665 df.mm.trans1:probe22 -0.0657333404220309 0.126799076978912 -0.518405511997245 0.604281264646059 df.mm.trans2:probe2 0.180898463029798 0.126799076978912 1.42665441531474 0.153967745795968 df.mm.trans2:probe3 0.0797621173280707 0.126799076978912 0.62904335921417 0.529453326661497 df.mm.trans2:probe4 -0.0655133485683801 0.126799076978912 -0.516670547840627 0.605491644909489 df.mm.trans2:probe5 0.224129548501109 0.126799076978912 1.76759605701534 0.0774100100405958 . df.mm.trans2:probe6 0.129475791766934 0.126799076978912 1.02110989174209 0.307430415393749 df.mm.trans3:probe2 -0.139549236050050 0.126799076978912 -1.10055403694507 0.271335353888784 df.mm.trans3:probe3 0.210749354147507 0.126799076978912 1.66207325138934 0.0967874751239427 . df.mm.trans3:probe4 -0.00628457754056095 0.126799076978912 -0.0495632751459709 0.960479551722988 df.mm.trans3:probe5 -0.0785535300837172 0.126799076978912 -0.619511844686232 0.535709526972728 df.mm.trans3:probe6 0.0291838129490895 0.126799076978912 0.230157928940943 0.818012517122203 df.mm.trans3:probe7 0.026234182685525 0.126799076978912 0.206895691282422 0.8361302135142 df.mm.trans3:probe8 -0.112580459661736 0.126799076978912 -0.887864977758943 0.374810523394053 df.mm.trans3:probe9 -0.073744793508419 0.126799076978912 -0.581587778597818 0.560965405049328 df.mm.trans3:probe10 0.0335833790851911 0.126799076978912 0.264855075331317 0.791171505997238 df.mm.trans3:probe11 -0.0375628051452608 0.126799076978912 -0.296238790062391 0.767104523081178 df.mm.trans3:probe12 0.0504033813814009 0.126799076978912 0.397505901322796 0.691072767635489 df.mm.trans3:probe13 0.0872904624497463 0.126799076978912 0.688415598358526 0.491338535365867 df.mm.trans3:probe14 0.09613845827698 0.126799076978912 0.758195253211259 0.448499057115017 df.mm.trans3:probe15 -0.140777322858351 0.126799076978912 -1.11023933464251 0.267142350043034 df.mm.trans3:probe16 0.0513637904844081 0.126799076978912 0.405080160740843 0.685498588998654 df.mm.trans3:probe17 -0.00675109636797068 0.126799076978912 -0.0532424724912901 0.95754853456966 df.mm.trans3:probe18 0.0999822923751846 0.126799076978912 0.788509622919517 0.430571235077815 df.mm.trans3:probe19 -0.0414750565745348 0.126799076978912 -0.327092732555400 0.743660957356957 df.mm.trans3:probe20 -0.0111793192422637 0.126799076978912 -0.0881656200393555 0.929761341647823