DEGs of Scissor Positive vs Negative Clusters in 79 Malignant Cells

79 malignant cells from a single-cell RNA sequencing experiment form the basis for this dataset of differentially expressed genes (DEGs). It compares Scissor-positive clusters SC_C6 and SC_C7 against Scissor-negative clusters. The dataset was authored by Zhi-Hui Luo and last updated on 2026-05-15.

Use Cases

• Identify potential biomarker genes based on differential expression between Scissor-positive and negative cell clusters.
• Validate or refine cell subpopulation annotations using the Scissor tool's phenotype associations.
• Investigate transcriptional programs linked to specific malignant phenotypes inferred by the Scissor algorithm.

Strengths

• Dataset is focused on a specific analysis (DEGs) from a defined set of 79 malignant cells.
• The data is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• The dataset is very small at 177.3 KB, indicating limited scope and scale.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Analysis output from a single-cell RNA sequencing experiment processed with the Scissor tool.

Freshness

Last updated 2026-05-15 18:00:38; freshness should be verified.