200 gene symbols and log2 fold change values for the top upregulated and downregulated genes identified from TCGA-STAD analysis. The dataset was authored by Negar Mottaghi-Dastjerdi and is available under a CC-BY-4.0 license.
Use Cases
- Identify potential biomarker candidates for stomach cancer based on differential expression.
- Validate gene expression signatures from TCGA-STAD against other cohorts.
- Prioritize genes for functional studies based on their log2 fold change magnitude.
Strengths
- Focuses on the top 200 differentially expressed genes, providing a curated list for analysis.
- Includes log2 fold change values, a key metric for expression magnitude.
- Dataset is openly licensed (CC-BY-4.0) for reuse.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- TCGA-STAD (The Cancer Genome Atlas - Stomach Adenocarcinoma) analysis.
- Collection Method
- Analysis after applying significance thresholds and expression filtering criteria.
- Freshness
- Last updated 2026-05-21 17:30:07; freshness should be verified.