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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.