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

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/