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 Hugo description measured expected Rank final
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
Hugo  : no value
description  :
measured
expected
Rank
final
0.000173011 0.7865 3206 0.000219976
0.02137 0.0901539 1731 0.237039108
0.0217565 0.101375 2541 0.214614057
0.0274494 0.117581 1854 0.233450983
0.0275762 0.11537 1647 0.23902401
0.029603 0.128294 2002 0.230743449
0.030828500000000002 0.141189 2413 0.218349163
0.0308447 0.126946 1481 0.242974966
0.031325 0.13696 2088 0.228716414
0.0313747 0.1519 2723 0.206548387
0.0331615 0.142049 1853 0.233451133
0.034272 0.122748 373 0.279206179
0.0344618 0.125634 492 0.274303135
0.0371369 0.196598 2872 0.188897649
0.0378601 0.144194 784 0.26256363
0.038359 0.163741 1823 0.234266311
0.0410035 0.157329 847 0.260622644
0.0415188 0.154846 644 0.268129626
0.042516 0.151058 357 0.281454805
0.0436424 0.163636 672 0.266704148
0.0436957 0.203458 2522 0.21476521
0.044904 0.188793 1700 0.237847802
0.0483186 0.171674 356 0.281455549
0.0488461 0.204356 1642 0.239024545
0.0511995 0.238723 2553 0.214472422
0.0533885 0.517345 3069 0.103197093
0.0556846 0.180466 262 0.308560061
0.0577101 0.270506 2574 0.213341294
0.0580492 0.247338 1800 0.234695841
0.0607427 0.257167 1764 0.236199435
0.0753661 0.312352 1557 0.241285793
0.0760628 0.309407 1298 0.245834128
0.0856348 0.180231 17 0.475139127
0.086859 0.389405 2257 0.223055688
0.0869771 0.324228 626 0.268259065
0.101691 0.514373 2807 0.197698946
0.10808 0.525053 2725 0.205845886
0.110079 0.443579 1207 0.248160981
0.112482 0.514239 2409 0.218734868
0.116403 0.505621 2032 0.23021789
0.117829 0.450503 810 0.261549868
0.12467 0.504447 1261 0.24714192
0.135144 0.478436 347 0.282470383
0.1385 0.628094 2347 0.220508395
0.152054 0.494121 267 0.307726245
0.152828 0.396725 89 0.385224022
0.184977 0.766628 1556 0.241286517
0.194172 0.898593 2489 0.216084479
0.221267 0.988036 2238 0.223946293
0.231369 0.562729 55 0.411155281

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/