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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description Rank measured Gene expected Hugo final
Results: HTML CSV LaTeX Showing element 1 to 50 of 350 in total
description  :
Hugo  : no value
Rank
measured
expected
final
3206 0.000173011 0.7865 0.000219976
4 3.66001 3.3348 1.097520091
17 0.0856348 0.180231 0.475139127
55 0.231369 0.562729 0.411155281
89 0.152828 0.396725 0.385224022
92 0.914796 2.37847 0.38461532
251 0.743299 2.38318 0.311893772
262 0.0556846 0.180466 0.308560061
267 0.152054 0.494121 0.307726245
347 0.135144 0.478436 0.282470383
356 0.0483186 0.171674 0.281455549
357 0.042516 0.151058 0.281454805
373 0.034272 0.122748 0.279206179
411 0.356784 1.28488 0.277678849
492 0.0344618 0.125634 0.274303135
498 0.236585 0.862726 0.274229593
626 0.0869771 0.324228 0.268259065
644 0.0415188 0.154846 0.268129626
672 0.0436424 0.163636 0.266704148
784 0.0378601 0.144194 0.26256363
810 0.117829 0.450503 0.261549868
847 0.0410035 0.157329 0.260622644
980 0.32192 1.26105 0.255279331
1207 0.110079 0.443579 0.248160981
1261 0.12467 0.504447 0.24714192
1271 0.264834 1.07406 0.246572817
1298 0.0760628 0.309407 0.245834128
1362 0.596229 2.43411 0.244947435
1390 0.410655 1.68007 0.244427316
1481 0.0308447 0.126946 0.242974966
1556 0.184977 0.766628 0.241286517
1557 0.0753661 0.312352 0.241285793
1642 0.0488461 0.204356 0.239024545
1647 0.0275762 0.11537 0.23902401
1700 0.044904 0.188793 0.237847802
1731 0.02137 0.0901539 0.237039108
1764 0.0607427 0.257167 0.236199435
1800 0.0580492 0.247338 0.234695841
1823 0.038359 0.163741 0.234266311
1853 0.0331615 0.142049 0.233451133
1854 0.0274494 0.117581 0.233450983
1902 0.549308 2.36366 0.232397214
1928 0.704795 3.04081 0.231778704
2002 0.029603 0.128294 0.230743449
2032 0.116403 0.505621 0.23021789
2088 0.031325 0.13696 0.228716414
2094 0.282831 1.23673 0.228692601
2165 0.299286 1.31793 0.227087933
2238 0.221267 0.988036 0.223946293
2257 0.086859 0.389405 0.223055688

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/