Microarray Data Explorer
Info 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.
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Select conditions below to toggle them from the plot:

GROUP CONDITION SAMPLES
BXD100
GSM1466533
GSM1466534
BXD101
GSM1466535
GSM1466536
BXD103
GSM1466537
GSM1466538
BXD43
GSM1466463
GSM1466462
BXD44
GSM1466465
GSM1466464
BXD45
GSM1466467
GSM1466466
BXD48
GSM1466469
GSM1466468
BXD49
GSM1466471
GSM1466470
BXD50
GSM1466472
BXD51
GSM1466473
GSM1466474
BXD55
GSM1466475
GSM1466476
BXD56
GSM1466477
GSM1466478
BXD60
GSM1466479
BXD61
GSM1466481
GSM1466480
BXD62
GSM1466483
GSM1466482
BXD63
GSM1466485
GSM1466484
BXD64
GSM1466487
GSM1466486
BXD65
GSM1466489
GSM1466488
BXD66
GSM1466491
GSM1466490
BXD68
GSM1466493
GSM1466492
BXD69
GSM1466495
GSM1466494
BXD70
GSM1466497
GSM1466496
BXD71
GSM1466499
GSM1466498
BXD73
GSM1466501
GSM1466500
BXD75
GSM1466503
GSM1466502
BXD79
GSM1466505
GSM1466504
BXD80
GSM1466507
GSM1466506
BXD81
GSM1466509
GSM1466508
BXD83
GSM1466511
GSM1466510
BXD84
GSM1466513
GSM1466512
BXD85
GSM1466515
GSM1466514
BXD87
GSM1466517
GSM1466516
BXD89
GSM1466519
GSM1466518
BXD90
GSM1466521
GSM1466520
BXD92a
GSM1466522
BXD95
GSM1466523
GSM1466524
BXD96
GSM1466525
GSM1466526
BXD97
GSM1466527
GSM1466528
BXD98
GSM1466529
GSM1466530
BXD99
GSM1466531
GSM1466532
C57BL/6J
GSM1466539
GSM1466540
DBA/2J
GSM1466541
GSM1466542
Description

Submission Date: Aug 06, 2014

Summary: Transcript data from livers from fasted-state BXD strains on chow or high fat diet

We used microarrays to compare the hepatic expression differences across the BXD strain family and across two diverse diets

GEO Accession ID: GSE60149

PMID: 25215496

Description

Submission Date: Aug 06, 2014

Summary: Transcript data from livers from fasted-state BXD strains on chow or high fat diet

We used microarrays to compare the hepatic expression differences across the BXD strain family and across two diverse diets

GEO Accession ID: GSE60149

PMID: 25215496

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info 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:

Select conditions:

Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method: