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 [...,...].
description Gene Rank expected measured final Hugo
Results: HTML CSV LaTeX Showing element 351 to 400 of 3206 in total
description  :
Rank
expected
measured
final
Hugo
2461 0.155511 0.0337015 0.216714573 RPAP1
2465 0.970087 0.210228 0.21671046 BRD9
2470 0.340556 0.0737619 0.216592572 LSM14B
2472 0.646308 0.139984 0.216590233 CUEDC2
2476 0.270652 0.0586202 0.21658883 LSM14A
2487 0.768906 0.166202 0.21615386 GLT25D1
2489 0.898593 0.194172 0.216084479 no value
2492 1.11109 0.239571 0.215617997
2511 0.159725 0.0343037 0.214767256 C20orf42
2517 0.278552 0.0598238 0.214767081 C11orf46
2522 0.203458 0.0436957 0.21476521 no value
2541 0.101375 0.0217565 0.214614057
2543 0.0977138 0.0209707 0.214613494 FAM86C
2545 0.127356 0.0273323 0.214613367 FAM86B2
2553 0.238723 0.0511995 0.214472422 no value
2556 0.155451 0.0333153 0.214313835 C1orf26
2559 0.598643 0.128297 0.214313038 CEP164
2567 0.370007 0.0789696 0.213427314 ZYG11B
2574 0.270506 0.0577101 0.213341294 no value
2588 2.47257 0.526405 0.212897916 HAGHL
2598 0.0940277 0.0200176 0.212890457 HHATL
2640 0.117481 0.0246707 0.209997361 AARSD1
2673 0.120084 0.0251255 0.209232704 NFASC
2693 0.586832 0.122185 0.208211209 AIFM3
2700 0.387009 0.0804074 0.207766228 HNRPLL
2702 0.698388 0.145039 0.207676821 FAM82B
2705 0.574873 0.119287 0.207501483 ABHD14B
2707 2.61855 0.542979 0.207358653 no value
2716 1.98421 0.411399 0.207336421
2718 0.446911 0.0926594 0.207333004 ABHD14A
2719 0.378961 0.0784199 0.206933959 MCTP2
2720 0.493701 0.10212 0.206845844 MCTP1
2723 0.1519 0.0313747 0.206548387 no value
2725 0.525053 0.10808 0.205845886
2730 0.42621 0.087666 0.205687337 CCBL2
2731 1.72277 0.354332 0.205675743 CRLS1
2738 0.122785 0.0252114 0.205329641 TMEM64
2744 0.543616 0.111176 0.204512008 PPCDC
2745 0.407712 0.0833819 0.204511763 PPCS
2751 0.576375 0.117541 0.203931468 NARS2
2753 0.486671 0.099187 0.203807089 PGAM5
2755 1.49161 0.303744 0.203634998 SSU72
2756 0.756695 0.153382 0.202699899 ATAD1
2758 0.356265 0.0721926 0.202637363 SAPS2
2761 0.324347 0.0657247 0.202636991 SAPS1
2780 0.894194 0.179735 0.201002243 TARSL2
2784 2.34488 0.469598 0.200265259 FAHD1
2789 0.259665 0.0519078 0.199902952 LYCAT
2792 0.268503 0.0536744 0.199902422 WDR32
2807 0.514373 0.101691 0.197698946 no value

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/