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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Gene description Hugo Rank expected final measured
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
description  :
Hugo  : no value
Rank
expected
final
measured
3206 0.7865 0.000219976 0.000173011
4 3.3348 1.097520091 3.66001
17 0.180231 0.475139127 0.0856348
55 0.562729 0.411155281 0.231369
89 0.396725 0.385224022 0.152828
92 2.37847 0.38461532 0.914796
251 2.38318 0.311893772 0.743299
262 0.180466 0.308560061 0.0556846
267 0.494121 0.307726245 0.152054
347 0.478436 0.282470383 0.135144
356 0.171674 0.281455549 0.0483186
357 0.151058 0.281454805 0.042516
373 0.122748 0.279206179 0.034272
411 1.28488 0.277678849 0.356784
492 0.125634 0.274303135 0.0344618
498 0.862726 0.274229593 0.236585
626 0.324228 0.268259065 0.0869771
644 0.154846 0.268129626 0.0415188
672 0.163636 0.266704148 0.0436424
784 0.144194 0.26256363 0.0378601
810 0.450503 0.261549868 0.117829
847 0.157329 0.260622644 0.0410035
980 1.26105 0.255279331 0.32192
1207 0.443579 0.248160981 0.110079
1261 0.504447 0.24714192 0.12467
1271 1.07406 0.246572817 0.264834
1298 0.309407 0.245834128 0.0760628
1362 2.43411 0.244947435 0.596229
1390 1.68007 0.244427316 0.410655
1481 0.126946 0.242974966 0.0308447
1556 0.766628 0.241286517 0.184977
1557 0.312352 0.241285793 0.0753661
1642 0.204356 0.239024545 0.0488461
1647 0.11537 0.23902401 0.0275762
1700 0.188793 0.237847802 0.044904
1731 0.0901539 0.237039108 0.02137
1764 0.257167 0.236199435 0.0607427
1800 0.247338 0.234695841 0.0580492
1823 0.163741 0.234266311 0.038359
1853 0.142049 0.233451133 0.0331615
1854 0.117581 0.233450983 0.0274494
1902 2.36366 0.232397214 0.549308
1928 3.04081 0.231778704 0.704795
2002 0.128294 0.230743449 0.029603
2032 0.505621 0.23021789 0.116403
2088 0.13696 0.228716414 0.031325
2094 1.23673 0.228692601 0.282831
2165 1.31793 0.227087933 0.299286
2238 0.988036 0.223946293 0.221267
2257 0.389405 0.223055688 0.086859

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/