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