CIBERSORTx Signature Matrix for Endometriosis Stromal Cell Analysis

A signature matrix constructed by CIBERSORTx for deconvolving bulk RNA-seq data to estimate immune and stromal cell subpopulation proportions in endometriosis. The dataset was created by Guansheng Chen and last updated on May 15, 2026. It is stored in an XLSX file sized at 456.9 KB.

Use Cases

• Deconvolve bulk RNA-seq data to estimate stromal cell subtype proportions based on the CIBERSORTx signature matrix.
• Validate decorin (DCN) expression as a diagnostic biomarker for endometriosis based on the described analysis.
• Investigate pathways related to tissue remodeling and inflammation in endometriosis based on the gene set enrichment analysis results.

Strengths

• Dataset is associated with a published bioinformatics study on endometriosis, providing experimental context.
• File size is 456.9 KB, indicating a focused and manageable dataset for analysis.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data may reflect bias inherent to the specific transcriptomic studies used in its construction.

Provenance

Source

figshare

Collection Method

Constructed using CIBERSORTx from single-cell and bulk transcriptomic data as part of a bioinformatics study.

Freshness

Last updated 2026-05-15 17:28:54.