A Review Of Machine Learning Methods For Cancer Characterization From Microbiome Data

This article discusses the use of machine learning models for cancer identification and characterization from the microbiome. It covers various methods and their advantages and disadvantages, and suggests using feature selection approaches according to cross-validation. Examples of applications and ML models used are also provided.