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Table 1 Major categories of machine-learning methods for analysis of microbiome samples with sequencing data

From: Alignment-free supervised classification of metagenomes by recursive SVM

Data type Metegnome sequencing 16S rRNA
Feature type Alignment-free Alignment-based OTU-based or microbial taxon-based
(based on sequence signature features without using any database) (based on features obtained by mapping sequence reads to annotation databases)
Type of machine learning Supervised classification Unsupervised clustering Supervised classification Unsupervised clustering Supervised or unsupervised
  1. The highlighted category (alignment-free supervised classification of metagenome data) is that of the current work.