Top 20 Cell Cluster Marker Genes with Differential Expression Statistics

A 201.1 KB Excel file containing marker genes for cell clusters, ranked by adjusted p-value and average log2 fold change. The dataset, authored by Alexandra Florea and last updated on 2026-04-27, includes statistics such as raw and adjusted p-values, expression percentages, and cluster annotations.

Use Cases

• Identify candidate marker genes for specific cell types based on differential expression statistics.
• Validate cell cluster annotations by examining the top-ranked genes and their expression patterns.
• Prioritize genes for further experimental investigation based on statistical significance (p_val_adj) and effect size (avg_log2FC).

Strengths

• Includes key statistical metrics for differential expression: p-value, adjusted p-value, and average log2 fold change.
• Provides expression context with the percentage of cells expressing the gene inside (pct.1) and outside (pct.2) each cluster.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (201.1 KB), indicating a limited scope, likely focused on a specific set of clusters.

Provenance

Source

figshare, authored by Alexandra Florea.

Collection Method

Marker genes determined based on differential expression between clusters.

Time Range

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Freshness

Last updated 2026-04-27 17:29:49; freshness should be verified.

Geography

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