通过特征空间平衡来改善分类学分类

Wolfgang Fuhl1, Susanne Zabel1, Kay Nieselt1

  • 1University of Tübingen, Institute for Biomedical Informatics (IBMI), Sand 14, Tübingen, Baden-Württemberg, 72076, Germany.

Bioinformatics advances
|August 14, 2023
PubMed
概括

我们引入了使用k-mer配置文件和特征平衡进行分类学分类的新方法,大大提高了元基因组测序的准确性. 这种方法优于现有的算法,甚至可以对新生物进行分类.

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