AKR1C4 Gene Expression in Human Hair Follicles: Multiple Linear Regression Results

Supplementary Table S6 presents results from a multiple linear regression analysis of AKR1C4 enzyme expression in human hair follicles. The dataset, authored by Yasuaki Ikuno and shared on figshare, is a small 11.0 KB XLSX file. It was last updated on April 30, 2026.

Use Cases

• Modeling the relationship between AKR1C4 expression and other variables based on the regression analysis.
• Investigating age-related changes in hormone-inactivating enzymes as described in the parent study.
• Validating statistical models of gene expression in sebaceous gland biology.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is precisely 11.0 KB, indicating a focused analysis.
• Specific focus on AKR1C4 expression in hair follicles from a related study.

Limitations

• Row count is unknown, which may limit suitability assessment.
• 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, author Yasuaki Ikuno.

Collection Method

Likely generated as supplementary material for a research study on age-related enzyme downregulation.

Freshness

Last updated 2026-04-30 04:12:07; freshness should be verified.