Scientific

MK5 Microarray Data


Affected Genes - Ontology Breakdown - Gene Enrichment - Proteome Analysis

These are the micro-array results of a differential gene expression microarray experiments and the subsequent analysis steps performed on them. The up/down- regulation ratio was obtained by measuring WT cells against MK5 activated cells. See material and methods for technical information as well as the data usage policy.

MK5 Proteome Network Type I Analysis

Type 1 network in which we propagated the absolute log regulation ratio abs(log(r/g)). We used the filtered lowest boundary of the confidence interval for the microarray measurement based and used the high confidence interaction map. Because type-I networks tend to favour highly connected proteins we tested a normalisation scheme in which we would run the network once with real values (the measured column) and once with simulated values where each measured point is set to 1 instead of the actual signal (the expected column). Afterwards we divided the measured value by the expected value. This normalisation scheme works to a certain extend but will lead to a variance that is directly related to the connectivity of each protein. In the end we dropped the use of Type-I networks due to the many technical problems they pose.


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Hugo description Gene final Rank measured expected
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
Hugo  : no value
description  :
final
Rank
measured
expected
0.000219976 3206 0.000173011 0.7865
0.103197093 3069 0.0533885 0.517345
0.188897649 2872 0.0371369 0.196598
0.197698946 2807 0.101691 0.514373
0.205845886 2725 0.10808 0.525053
0.206548387 2723 0.0313747 0.1519
0.207336421 2716 0.411399 1.98421
0.207358653 2707 0.542979 2.61855
0.213341294 2574 0.0577101 0.270506
0.214472422 2553 0.0511995 0.238723
0.214614057 2541 0.0217565 0.101375
0.21476521 2522 0.0436957 0.203458
0.215617997 2492 0.239571 1.11109
0.216084479 2489 0.194172 0.898593
0.218349163 2413 0.030828500000000002 0.141189
0.218734868 2409 0.112482 0.514239
0.220508395 2347 0.1385 0.628094
0.222191114 2306 0.25396 1.14298
0.2226904 2275 0.294007 1.32025
0.223055688 2257 0.086859 0.389405
0.223946293 2238 0.221267 0.988036
0.227087933 2165 0.299286 1.31793
0.228692601 2094 0.282831 1.23673
0.228716414 2088 0.031325 0.13696
0.23021789 2032 0.116403 0.505621
0.230743449 2002 0.029603 0.128294
0.231778704 1928 0.704795 3.04081
0.232397214 1902 0.549308 2.36366
0.233450983 1854 0.0274494 0.117581
0.233451133 1853 0.0331615 0.142049
0.234266311 1823 0.038359 0.163741
0.234695841 1800 0.0580492 0.247338
0.236199435 1764 0.0607427 0.257167
0.237039108 1731 0.02137 0.0901539
0.237847802 1700 0.044904 0.188793
0.23902401 1647 0.0275762 0.11537
0.239024545 1642 0.0488461 0.204356
0.241285793 1557 0.0753661 0.312352
0.241286517 1556 0.184977 0.766628
0.242974966 1481 0.0308447 0.126946
0.244427316 1390 0.410655 1.68007
0.244947435 1362 0.596229 2.43411
0.245834128 1298 0.0760628 0.309407
0.246572817 1271 0.264834 1.07406
0.24714192 1261 0.12467 0.504447
0.248160981 1207 0.110079 0.443579
0.255279331 980 0.32192 1.26105
0.260622644 847 0.0410035 0.157329
0.261549868 810 0.117829 0.450503
0.26256363 784 0.0378601 0.144194

Legend:
- Rank is the rank after comparing the two networks
- Gene is the ensembl human gene identifier measured by 1 or more probes on the microarray
- Hugo is the bloody hugo identifier as demanded by the BMC Bioinformatics idiots

- http://analysis.yellowcouch.org/