RNA-seq Count Matrices for Human Adipose Stem Cells

Count matrices of immortalized human adipose-derived mesenchymal stromal/stem cells for RNA-seq analysis. The dataset includes both raw and filtered gene expression counts generated by STAR and featureCounts, with the filtered matrix containing genes with 5,000 or more total counts. It was authored by Himari Matsusaka and last updated on May 8, 2026.

Use Cases

• Perform differential gene expression analysis based on RNA-seq count matrices.
• Filter low-expression genes based on the provided threshold of 5,000 total counts.
• Compare raw versus filtered gene expression profiles for quality control.
• Train models for cell type classification based on adipose-derived stem cell expression profiles.

Strengths

• Includes both raw and filtered count matrices, providing flexibility for analysis.
• Filtered matrix uses a specific threshold of 5,000 total counts per gene.
• Data files are 1.3 MB, facilitating quick download and initial inspection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Himari Matsusaka

Collection Method

Gene expression counts generated by STAR and featureCounts.

Freshness

Last updated 2026-05-08 07:09:44; freshness should be verified.