Table S4: Principal Components for Lung Cancer Detection from Plasma DNA

A supplementary table from a 2026 study on early lung cancer detection. The dataset, authored by Jinwen Ji, contains the number of principal components required to explain 99% of total variance in plasma cell-free DNA data. It is a small, 9.9 KB Excel file shared under a CC-BY-4.0 license.

Use Cases

• Assess data complexity for modeling based on the principal component count.
• Benchmark dimensionality reduction techniques based on the variance explained metric.
• Reproduce statistical analyses from the associated research paper.

Strengths

• File size is precisely 9.9 KB, indicating a compact and focused dataset.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Directly supports a specific, peer-reviewed research finding on cancer detection.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Jinwen Ji.

Collection Method

Likely derived from statistical analysis of plasma cell-free DNA sequencing data.

Freshness

Last updated 2026-06-02 07:21:23; freshness should be verified.