Gastric Cancer Transcriptomic Analysis with Differential Expression and Validation Data

Processed data for the study "Molecular and Structural Reprogramming of Gastric Cancer Revealed by Systems-Level Transcriptomic Analysis." The 9.2 MB dataset includes differential expression results, selected top dysregulated genes, and external validation results from GSE54129. It was authored by Negar Mottaghi and last updated on 2026-04 18.

Use Cases

• Identify differentially expressed genes in gastric cancer based on the differential expression results.
• Validate transcriptomic findings using the external validation results from GSE54129.
• Perform systems-level analysis of gastric cancer molecular reprogramming based on the selected top dysregulated genes.

Strengths

• Data is directly linked to a specific published study, providing clear research context.
• Includes external validation results from the GSE54129 dataset.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Negar Mottaghi via figshare.

Collection Method

Processed data from a transcriptomic analysis study.

Time Range

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Freshness

Last updated 2026-04-18 19:16:27; freshness should be verified.

Geography

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