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

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/