Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages.
You can read more about microarray data here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| BXD100 |
GSM1466534
|
|
|
GSM1466533
|
||
| BXD101 |
GSM1466536
|
|
|
GSM1466535
|
||
| BXD103 |
GSM1466538
|
|
|
GSM1466537
|
||
| BXD43 |
GSM1466462
|
|
|
GSM1466463
|
||
| BXD44 |
GSM1466464
|
|
|
GSM1466465
|
||
| BXD45 |
GSM1466466
|
|
|
GSM1466467
|
||
| BXD48 |
GSM1466468
|
|
|
GSM1466469
|
||
| BXD49 |
GSM1466470
|
|
|
GSM1466471
|
||
| BXD50 |
GSM1466472
|
|
| BXD51 |
GSM1466474
|
|
|
GSM1466473
|
||
| BXD55 |
GSM1466476
|
|
|
GSM1466475
|
||
| BXD56 |
GSM1466478
|
|
|
GSM1466477
|
||
| BXD60 |
GSM1466479
|
|
| BXD61 |
GSM1466480
|
|
|
GSM1466481
|
||
| BXD62 |
GSM1466482
|
|
|
GSM1466483
|
||
| BXD63 |
GSM1466484
|
|
|
GSM1466485
|
||
| BXD64 |
GSM1466486
|
|
|
GSM1466487
|
||
| BXD65 |
GSM1466488
|
|
|
GSM1466489
|
||
| BXD66 |
GSM1466490
|
|
|
GSM1466491
|
||
| BXD68 |
GSM1466492
|
|
|
GSM1466493
|
||
| BXD69 |
GSM1466494
|
|
|
GSM1466495
|
||
| BXD70 |
GSM1466496
|
|
|
GSM1466497
|
||
| BXD71 |
GSM1466498
|
|
|
GSM1466499
|
||
| BXD73 |
GSM1466500
|
|
|
GSM1466501
|
||
| BXD75 |
GSM1466502
|
|
|
GSM1466503
|
||
| BXD79 |
GSM1466504
|
|
|
GSM1466505
|
||
| BXD80 |
GSM1466506
|
|
|
GSM1466507
|
||
| BXD81 |
GSM1466508
|
|
|
GSM1466509
|
||
| BXD83 |
GSM1466510
|
|
|
GSM1466511
|
||
| BXD84 |
GSM1466512
|
|
|
GSM1466513
|
||
| BXD85 |
GSM1466514
|
|
|
GSM1466515
|
||
| BXD87 |
GSM1466516
|
|
|
GSM1466517
|
||
| BXD89 |
GSM1466518
|
|
|
GSM1466519
|
||
| BXD90 |
GSM1466520
|
|
|
GSM1466521
|
||
| BXD92a |
GSM1466522
|
|
| BXD95 |
GSM1466524
|
|
|
GSM1466523
|
||
| BXD96 |
GSM1466526
|
|
|
GSM1466525
|
||
| BXD97 |
GSM1466528
|
|
|
GSM1466527
|
||
| BXD98 |
GSM1466530
|
|
|
GSM1466529
|
||
| BXD99 |
GSM1466532
|
|
|
GSM1466531
|
||
| C57BL/6J |
GSM1466540
|
|
|
GSM1466539
|
||
| DBA/2J |
GSM1466542
|
|
|
GSM1466541
|
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.