Differentially Expressed Genes from RNA-seq Data for Patients and Controls

9.0 KB of RNA-seq data used to identify genes differentially expressed between patients and controls. The dataset, authored by Jiafang Li, is available as an XLSX file under a CC-BY-4.0 license and was last updated on 2026-05-29. Its small size suggests a focused analysis rather than a large-scale repository.

Use Cases

• Identify potential biomarker genes based on differential expression between patient and control groups.
• Validate RNA-seq analysis pipelines using a small, focused dataset.
• Perform exploratory analysis of gene expression changes associated with a clinical condition.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• File size is precisely known (9.0 KB), indicating a small, manageable download.

Limitations

• Row count is unknown, which may limit suitability assessment for statistical analysis.
• 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

figshare

Collection Method

RNA-seq data analysis to generate differentially expressed genes.

Freshness

Last updated 2026-05-29 18:00:16; freshness should be verified.