2024-04-02
ExpressionSet
La clase del objeto la podemos ver con
El método print
nos da un breve resumen de la clase.
La matriz de expresión la obtenemos con el accessor Biobase::exprs
.
01005 01010 03002 04006 04007 04008 04010
1000_at 7.597323 7.479445 7.567593 7.384684 7.905312 7.065914 7.474537
1001_at 5.046194 4.932537 4.799294 4.922627 4.844565 5.147762 5.122518
1002_f_at 3.900466 4.208155 3.886169 4.206798 3.416923 3.945869 4.150506
1003_s_at 5.903856 6.169024 5.860459 6.116890 5.687997 6.208061 6.292713
1004_at 5.925260 5.912780 5.893209 6.170245 5.615210 5.923487 6.046607
1005_at 8.570990 10.428299 9.616713 9.937155 9.983809 10.063484 10.662059
04016 06002 08001 08011 08012 08018 08024
1000_at 7.536119 7.183331 7.735545 7.591498 7.824284 7.231814 7.879988
1001_at 5.016132 5.288943 4.633217 4.583148 4.685951 5.059300 4.830464
1002_f_at 3.576360 3.900935 3.630190 3.609112 3.902139 3.804705 3.862914
1003_s_at 5.665991 5.842326 5.875375 5.733157 5.762857 5.770914 6.079410
1004_at 5.738218 5.994515 5.748350 5.922568 5.679899 6.044520 6.057632
1005_at 11.269115 8.812869 10.165159 9.381072 8.227970 7.627248 7.667445
09008 09017 11005 12006 12007 12012 12019
1000_at 7.891793 7.756734 7.640012 7.759599 7.678636 7.464285 7.652719
1001_at 5.999496 4.987595 4.967288 4.770481 5.456332 4.785863 5.175609
1002_f_at 4.001606 4.048901 3.796550 3.912707 3.870893 3.930832 3.932360
1003_s_at 5.832952 6.097900 6.094379 6.235795 5.971466 6.037364 6.194623
1004_at 5.717497 6.210092 5.751805 5.883340 5.918456 5.725421 5.969027
1005_at 10.206353 10.015466 9.358516 8.824348 9.262478 7.232927 10.243610
12026 14016 15001 15004 15005 16004 16009
1000_at 7.501591 7.570417 7.331509 7.366208 7.455451 7.328875 7.297313
1001_at 5.188992 5.258312 4.627955 4.733495 5.125098 5.332775 5.215707
1002_f_at 4.188444 4.028859 4.099497 3.831617 3.786741 4.648154 4.176687
1003_s_at 6.231228 6.348593 6.057790 6.043205 6.303592 5.905220 6.274415
1004_at 6.357476 6.173530 5.729543 5.671164 5.977084 5.721572 6.000902
1005_at 7.808452 7.557919 10.233185 9.749860 8.477219 9.884608 9.599149
19005 20002 22009 22010 22011 22013 24001
1000_at 7.563561 7.541133 8.016818 7.862181 7.702580 7.412003 7.916169
1001_at 4.858392 4.964424 5.216252 5.135825 4.802946 5.222676 4.790170
1002_f_at 4.097332 3.789888 3.980839 3.954917 3.971934 4.109899 3.899038
1003_s_at 5.838829 6.160238 6.343042 6.195307 5.865581 6.243157 6.022905
1004_at 5.970021 6.054232 6.024327 6.114502 6.035582 5.896131 5.800271
1005_at 9.683996 9.221405 8.571812 8.841628 8.489550 8.998592 8.933302
24005 24008 24010 24011 24017 24018 24019
1000_at 7.595848 7.296349 7.506236 7.144425 7.513972 7.815971 7.406135
1001_at 4.804743 5.002518 4.218220 5.228892 5.264158 4.899316 4.791335
1002_f_at 3.677240 3.906343 3.579385 3.829513 3.965467 4.058576 4.131234
1003_s_at 5.669771 5.668509 5.273965 5.817272 6.088179 6.387995 6.343673
1004_at 5.475892 5.437155 4.634124 5.552223 5.982065 5.874817 6.048209
1005_at 9.626267 10.826157 8.782330 7.881855 11.069535 9.102971 10.037809
24022 25003 25006 26001 26003 26005 26008
1000_at 7.300980 7.845054 7.651229 7.376930 7.663977 7.250353 7.663612
1001_at 5.177703 5.250315 4.896195 5.123546 5.078104 4.945670 5.124591
1002_f_at 3.838198 4.046442 4.120495 4.131492 3.803233 4.105035 4.119660
1003_s_at 5.863318 6.205917 6.298788 6.118064 6.199316 5.782105 6.271931
1004_at 5.669051 5.931859 5.915944 6.002812 5.822230 5.930979 6.073099
1005_at 9.095296 8.670866 10.496309 9.046483 9.104846 9.756972 9.071812
27003 27004 28001 28003 28005 28006 28007
1000_at 7.329996 7.360754 7.035203 7.705260 7.551734 7.538601 7.501531
1001_at 5.438098 4.757900 5.005279 5.009705 4.944978 4.511194 4.888814
1002_f_at 3.677207 3.638739 3.800893 4.238111 3.719482 3.788262 3.626149
1003_s_at 5.899308 5.664813 5.732956 6.379139 5.833428 5.362676 5.702537
1004_at 5.718582 5.595820 5.485361 5.881472 5.554058 4.986320 5.743743
1005_at 6.969776 8.867644 7.067019 9.080559 8.245585 7.807180 10.085771
28019 28021 28023 28024 28028 28031 28032
1000_at 7.116676 7.107979 7.427808 6.549926 7.514761 7.377215 6.973861
1001_at 5.275964 4.865566 5.057619 5.185277 4.788468 4.778381 4.970430
1002_f_at 4.192648 3.979372 3.791415 3.943834 3.924333 3.657005 3.706332
1003_s_at 6.196541 5.804445 5.719376 5.943116 5.719659 5.939648 5.968072
1004_at 5.926093 5.768851 5.478333 5.756534 5.740607 5.770578 5.905965
1005_at 8.097072 8.661098 9.106441 8.804075 8.235771 10.607653 6.760202
28035 28036 28037 28042 28043 28044 28047
1000_at 7.227516 7.407561 7.158049 7.235291 7.589310 7.988476 7.362458
1001_at 6.408157 5.042222 5.431469 4.686293 4.851805 4.894379 4.843868
1002_f_at 3.995074 3.714084 4.302001 3.677909 3.831514 3.690856 3.646990
1003_s_at 6.272305 5.733332 6.253362 6.098969 6.132159 6.130691 5.628370
1004_at 6.050495 5.651345 6.494545 6.109255 5.867806 5.592139 5.644372
1005_at 8.957027 8.764321 9.102879 7.008132 7.720932 7.861043 6.642728
30001 31007 31011 33005 36001 36002 37013
1000_at 7.508667 7.147843 7.651676 7.486432 7.759074 7.473427 7.627685
1001_at 5.587029 4.943857 4.741654 4.642628 4.962544 4.953122 5.358236
1002_f_at 3.765444 3.789166 3.790688 3.682768 3.740679 3.688162 4.008891
1003_s_at 6.078532 5.858604 6.251328 5.961910 5.936883 5.642185 6.314849
1004_at 5.935291 5.526191 5.820374 5.810047 5.616831 5.678327 6.044299
1005_at 9.075910 9.588264 9.585180 11.609025 11.653732 8.893931 7.950866
43001 43004 43007 43012 48001 49006 57001
1000_at 7.577529 7.600206 7.776844 7.585928 7.450666 7.004613 7.195206
1001_at 5.054157 4.879037 4.949908 5.057530 4.960382 4.836905 4.744006
1002_f_at 3.932435 4.028704 3.689141 3.891536 4.061201 3.699625 3.973128
1003_s_at 6.310934 6.086349 5.658127 6.363734 6.099140 5.616555 5.962672
1004_at 5.782177 5.817414 5.621938 5.975024 5.853644 5.704549 5.765632
1005_at 8.569400 10.693175 7.601647 9.377819 10.929231 9.193089 10.691061
62001 62002 62003 63001 64001 64002 65005
1000_at 7.407351 7.756195 7.913324 7.270997 7.694588 7.583071 7.609538
1001_at 4.930312 5.238937 5.074681 4.513671 4.928159 4.804083 4.715693
1002_f_at 3.734818 3.945514 3.926906 3.639640 3.806746 4.104208 3.453649
1003_s_at 5.730142 6.061704 6.208286 5.519846 5.834263 6.340025 5.584102
1004_at 5.512776 5.956554 6.028228 5.041052 5.912557 6.056120 5.611407
1005_at 9.108345 9.507559 9.693530 7.758929 8.883131 10.320243 7.757368
68001 68003 84004 LAL5 01003 01007 02020
1000_at 7.324502 7.545120 7.679603 7.604093 7.240252 7.676749 7.934247
1001_at 5.379102 4.650231 4.795495 4.988922 5.224752 5.129002 5.667907
1002_f_at 4.066075 3.626514 3.554142 3.960894 3.862458 4.169622 4.173444
1003_s_at 6.121059 6.347044 5.471594 5.761373 6.430906 6.202916 6.083160
1004_at 6.224473 5.884682 5.505538 6.048169 5.940335 5.979690 6.127251
1005_at 11.165801 8.986872 9.984865 9.741136 9.790736 8.671713 8.308241
04018 09002 10005 11002 12008 15006 16002
1000_at 7.874448 7.404271 7.775253 7.771891 7.355677 7.388882 7.589734
1001_at 5.005420 5.127949 4.423445 4.476761 5.461252 5.330129 4.836986
1002_f_at 3.772763 3.979145 3.529124 3.656052 4.121548 4.146230 3.956283
1003_s_at 6.041962 6.013443 5.156087 5.528908 6.054917 6.028770 5.990144
1004_at 5.751041 6.138876 5.038015 5.396687 5.984467 6.282975 5.860502
1005_at 8.324171 6.379843 8.841847 7.536542 8.685069 9.657075 8.481350
16007 17003 18001 19002 19008 19014 19017
1000_at 7.675929 7.662426 7.584008 7.840099 7.164922 7.843162 7.695714
1001_at 4.959669 5.743215 4.674920 5.208166 4.554529 5.718569 4.498515
1002_f_at 3.819324 4.142183 3.556962 3.942920 3.541456 4.000303 3.667304
1003_s_at 5.763215 6.307570 5.825432 6.181242 5.869161 6.131560 5.787218
1004_at 5.781565 5.857727 5.786847 5.935438 5.628791 5.613913 5.226277
1005_at 9.314393 10.336505 9.238966 8.941103 8.005422 9.629751 10.907283
20005 24006 26009 28008 28009 31015 37001
1000_at 7.520867 7.836577 7.470524 7.520806 7.646947 7.727560 7.849455
1001_at 5.135697 5.129836 5.213340 4.690815 4.902946 4.866731 4.959450
1002_f_at 4.165152 4.002384 4.126231 3.655414 3.894576 3.970375 4.047428
1003_s_at 6.019615 6.110763 6.271189 5.513344 5.814061 5.779816 6.193790
1004_at 5.850529 5.847115 6.089797 5.211162 5.828099 5.738370 5.824930
1005_at 8.034295 7.967475 9.382400 7.727615 8.067144 9.211820 10.408645
43006 43015 44001 49004 56007 64005 65003
1000_at 7.960842 8.188617 7.399999 7.813474 7.816922 7.913249 7.800199
1001_at 4.537677 5.154500 5.071885 4.874525 4.788699 5.403640 5.443827
1002_f_at 3.694877 3.949546 3.837517 3.767672 4.248075 4.119252 3.957468
1003_s_at 5.973162 6.033704 5.560886 5.930329 5.878533 6.193376 6.006443
1004_at 5.841095 5.870163 5.686555 5.793403 5.913503 6.053053 5.549087
1005_at 7.524865 8.381740 8.055760 7.234242 8.083834 10.163355 8.184442
83001 LAL4
1000_at 8.030047 7.702217
1001_at 5.178633 5.029670
1002_f_at 4.053458 4.002306
1003_s_at 6.050129 6.297549
1004_at 5.932412 5.827131
1005_at 8.798521 7.687370
Los datos fenotípicos los tendremos con Biobase::pData
.
¿Cuál fue chip que se utilizó para obtener estos datos?
Los identificadores de las filas los tenemos con