Var Gene Classification from 660 Isolates Across Eleven Regions

Eleven regions contributed 60 isolates each for a total of 660. The dataset contains percentages of var gene exon 1 protein sequences classified by genomic position and ups type using a linear SVM model. It was authored by Elcid Aaron Pangilinan and last updated on April 16, 2026.

Use Cases

• Training SVM classifiers for genomic sequence data based on the described classification task.
• Analyzing the distribution of var gene types across different geographic regions.
• Benchmarking classification performance for exon 1 protein sequences.

Strengths

• Contains classification results for 660 isolates, providing a multi-region sample.
• Results are derived from a specific, documented machine learning method (linear SVM).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 9.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Classification using the upsML linear SVM model applied to exon 1 protein sequences.

Time Range

null

Freshness

Last updated 2026-04-16 17:47:52; freshness should be verified.

Geography

Covers eleven unspecified regions.