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Gene Expression Data Explorer
Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Enter gene symbol:
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Human Muscle Progenitor Cells |
GSM4905257 GSM4905258 GSM4905259 GSM4905260 GSM4905261
|
|
|
GSM4905262 GSM4905263 GSM4905264 GSM4905265 GSM4905266
|
human
GSE161357
Visualize Samples
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Precomputed Differential Gene Expression
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
Select conditions:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential Gene Expression Analysis
Differential expression signatures can be computed using DESeq2 or characteristic direction.
Differential expression signatures can be computed using DESeq2 or characteristic direction.
Select differential expression analysis method: