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

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/