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.


Navigation/Query Panel:
Click on the attribute name to hide/unhide it. The green arrows can be used to shift columns left/right. Exact word match is written as =..., regular expressions can be matched with ~.... To select all values larger or equal than use >.... This would be <... for values smaller or equal than. To select all values within a specific range use [...,...].
Hugo Gene description expected measured Rank final
Results: HTML CSV LaTeX Showing element 1 to 50 of 3206 in total
Hugo  : no value
description  :
expected
measured
Rank
final
0.7865 0.000173011 3206 0.000219976
0.0901539 0.02137 1731 0.237039108
0.101375 0.0217565 2541 0.214614057
0.11537 0.0275762 1647 0.23902401
0.117581 0.0274494 1854 0.233450983
0.122748 0.034272 373 0.279206179
0.125634 0.0344618 492 0.274303135
0.126946 0.0308447 1481 0.242974966
0.128294 0.029603 2002 0.230743449
0.13696 0.031325 2088 0.228716414
0.141189 0.030828500000000002 2413 0.218349163
0.142049 0.0331615 1853 0.233451133
0.144194 0.0378601 784 0.26256363
0.151058 0.042516 357 0.281454805
0.1519 0.0313747 2723 0.206548387
0.154846 0.0415188 644 0.268129626
0.157329 0.0410035 847 0.260622644
0.163636 0.0436424 672 0.266704148
0.163741 0.038359 1823 0.234266311
0.171674 0.0483186 356 0.281455549
0.180231 0.0856348 17 0.475139127
0.180466 0.0556846 262 0.308560061
0.188793 0.044904 1700 0.237847802
0.196598 0.0371369 2872 0.188897649
0.203458 0.0436957 2522 0.21476521
0.204356 0.0488461 1642 0.239024545
0.238723 0.0511995 2553 0.214472422
0.247338 0.0580492 1800 0.234695841
0.257167 0.0607427 1764 0.236199435
0.270506 0.0577101 2574 0.213341294
0.309407 0.0760628 1298 0.245834128
0.312352 0.0753661 1557 0.241285793
0.324228 0.0869771 626 0.268259065
0.389405 0.086859 2257 0.223055688
0.396725 0.152828 89 0.385224022
0.443579 0.110079 1207 0.248160981
0.450503 0.117829 810 0.261549868
0.478436 0.135144 347 0.282470383
0.494121 0.152054 267 0.307726245
0.504447 0.12467 1261 0.24714192
0.505621 0.116403 2032 0.23021789
0.514239 0.112482 2409 0.218734868
0.514373 0.101691 2807 0.197698946
0.517345 0.0533885 3069 0.103197093
0.525053 0.10808 2725 0.205845886
0.562729 0.231369 55 0.411155281
0.628094 0.1385 2347 0.220508395
0.766628 0.184977 1556 0.241286517
0.862726 0.236585 498 0.274229593
0.898593 0.194172 2489 0.216084479

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/