rewire.it
Paper-reported evidence

ICCTax: a hierarchical taxonomic classifier for metagenomic sequences on a large language model

2025 · Peer-reviewed · version of record

Paper-reported results. The values below come from this source, not an independent rewire.it run.

Open primary paper →DOI: 10.1093/bioadv/vbaf257

Primary full text verified using Europe PMC XML; venue: Bioinformatics Advances; PMC ID: PMC12619997.

2 verified numerical rows · source checked 2026-09-15

Paper-reportedAuthor's model

ICCTax

Hierarchical metagenomic taxonomy classification

Reported score
67.20%
Metric
Genus macro AveP
Dataset / split
ICCTax Complete dataset

Macro average precision at genus rank on Complete dataset.

Table 2, ICCTax row, Genus columnVerify at source →
Paper-reportedIndependent paper evaluation

Kraken2

Hierarchical metagenomic taxonomy classification

Reported score
70.56%
Metric
Genus macro AveP
Dataset / split
ICCTax Complete dataset

Macro average precision at genus rank on Complete dataset.

Table 2, Kraken2 row, Genus columnVerify at source →