S1Data: Bioinformatics Data for COVID-19 and Sepsis T Cell Analysis

245.3 MB of bioinformatics data for analyzing T cell dysregulation in COVID-19 and sepsis. The dataset is available in CSV and XLSX formats and was last updated on May 10, 2026. It was authored by Wei Yang and is shared under a CC-BY-4.0 license.

Use Cases

• Compare T cell dysregulation patterns between COVID-19 and sepsis based on the described analysis focus.
• Train machine learning models to classify immune states based on bioinformatics features implied by the description.
• Conduct differential expression analysis of T cell-related genes in the two disease conditions.

Strengths

• Dataset size is 245.3 MB, indicating a substantial volume of data.
• Data is available in two common, interoperable formats: CSV and XLSX.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analyses.

Provenance

Source

figshare

Freshness

Last updated 2026-05-10 03:18:51